From a3fd60a17da9cca954453d86c23aac9b0057eb2e Mon Sep 17 00:00:00 2001 From: 2squarehoon Date: Thu, 24 Feb 2022 21:19:58 +0900 Subject: [PATCH 1/5] =?UTF-8?q?=EA=B9=8C=EB=A8=B9=EA=B3=A0=20=EC=95=88?= =?UTF-8?q?=EC=98=AC=EB=A6=B0=EA=B1=B0=20=EC=97=85=EB=8D=B0=EC=9D=B4?= =?UTF-8?q?=ED=8A=B8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .ipynb_checkpoints/Untitled-checkpoint.ipynb | 6 + .../first_data_analysis-checkpoint.ipynb | 2487 +++++ Untitled.ipynb | 65 + data/01. CCTV_in_Seoul.csv | 27 + data/01. population_in_seoul(dong).xls | Bin 0 -> 185856 bytes data/01. population_in_seoul.xls | Bin 0 -> 15360 bytes data/02. crime_in_Seoul.csv | 32 + ...0 \355\230\204\355\231\251_12_31_2020.csv" | 311 + first_data_analysis.ipynb | 2363 +++++ .../Untitled-checkpoint.ipynb | 6830 +++++++++++++ .../Untitled1-checkpoint.ipynb | 376 + source_code/Untitled.ipynb | 8509 +++++++++++++++++ source_code/Untitled1.ipynb | 376 + ...0\201\354\226\264\354\230\250\352\261\260" | 1 + 14 files changed, 21383 insertions(+) create mode 100644 .ipynb_checkpoints/Untitled-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/first_data_analysis-checkpoint.ipynb create mode 100644 Untitled.ipynb create mode 100644 data/01. CCTV_in_Seoul.csv create mode 100644 data/01. population_in_seoul(dong).xls create mode 100644 data/01. population_in_seoul.xls create mode 100644 data/02. crime_in_Seoul.csv create mode 100644 "data/\352\262\275\354\260\260\354\262\255 \354\204\234\354\232\270\355\212\271\353\263\204\354\213\234\352\262\275\354\260\260\354\262\255_\352\262\275\354\260\260\354\204\234\353\263\204 5\353\214\200\353\262\224\354\243\204 \353\260\234\354\203\235 \352\262\200\352\261\260 \355\230\204\355\231\251_12_31_2020.csv" create mode 100644 first_data_analysis.ipynb create mode 100644 source_code/.ipynb_checkpoints/Untitled-checkpoint.ipynb create mode 100644 source_code/.ipynb_checkpoints/Untitled1-checkpoint.ipynb create mode 100644 source_code/Untitled.ipynb create mode 100644 source_code/Untitled1.ipynb create mode 160000 "\354\233\220\353\263\270 \353\215\260\354\235\264\355\204\260 \352\270\201\354\226\264\354\230\250\352\261\260" diff --git a/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/.ipynb_checkpoints/Untitled-checkpoint.ipynb new file mode 100644 index 0000000..363fcab --- /dev/null +++ b/.ipynb_checkpoints/Untitled-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/.ipynb_checkpoints/first_data_analysis-checkpoint.ipynb b/.ipynb_checkpoints/first_data_analysis-checkpoint.ipynb new file mode 100644 index 0000000..374006b --- /dev/null +++ b/.ipynb_checkpoints/first_data_analysis-checkpoint.ipynb @@ -0,0 +1,2487 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "79f546a3", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d90c73a8", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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※ 2021.7.31. 현황을 기준으로 각 연도별 설치된 CCTV 수량. 교체(저화질교체, 성능개선)는 최초설치연도가 아닌 교체년도 수량에 포함Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
0구분총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년
1계77,0327,6672,2003,4914,4396,5828,1299,9479,87611,96111,1321,608
2종로구1,77281300210150126185920043
3중 구2,333161148777236240372386155361289
4용산구2,38334712341252212983511253076170
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" + ], + "text/plain": [ + " ※ 2021.7.31. 현황을 기준으로 각 연도별 설치된 CCTV 수량. 교체(저화질교체, 성능개선)는 최초설치연도가 아닌 교체년도 수량에 포함 \\\n", + "0 구분 \n", + "1 계 \n", + "2 종로구 \n", + "3 중 구 \n", + "4 용산구 \n", + "\n", + " Unnamed: 1 Unnamed: 2 Unnamed: 3 Unnamed: 4 Unnamed: 5 Unnamed: 6 \\\n", + "0 총계 2012년 이전 2012년 2013년 2014년 2015년 \n", + "1 77,032 7,667 2,200 3,491 4,439 6,582 \n", + "2 1,772 813 0 0 210 150 \n", + "3 2,333 16 114 87 77 236 \n", + "4 2,383 34 71 234 125 221 \n", + "\n", + " Unnamed: 7 Unnamed: 8 Unnamed: 9 Unnamed: 10 Unnamed: 11 Unnamed: 12 \n", + "0 2016년 2017년 2018년 2019년 2020년 2021년 \n", + "1 8,129 9,947 9,876 11,961 11,132 1,608 \n", + "2 1 261 85 9 200 43 \n", + "3 240 372 386 155 361 289 \n", + "4 298 351 125 307 617 0 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CCTV_Seoul = pd.read_csv('../data/01. CCTV_in_Seoul.csv', encoding='euc-kr')\n", + "CCTV_Seoul.head()\n", + "# 책에서는 encoding='utf-8'이었지만 뭐가 바뀌었는지 'euc-kr'로 해야한다.." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "653f5a52", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['※ 2021.7.31. 현황을 기준으로 각 연도별 설치된 CCTV 수량. 교체(저화질교체, 성능개선)는 최초설치연도가 아닌 교체년도 수량에 포함',\n", + " 'Unnamed: 1', 'Unnamed: 2', 'Unnamed: 3', 'Unnamed: 4', 'Unnamed: 5',\n", + " 'Unnamed: 6', 'Unnamed: 7', 'Unnamed: 8', 'Unnamed: 9', 'Unnamed: 10',\n", + " 'Unnamed: 11', 'Unnamed: 12'],\n", + " dtype='object')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CCTV_Seoul.columns\n", + "# 첫줄도 좀 바뀌었네..." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "fbde9a7b", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "read_excel() got an unexpected keyword argument 'encoding'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "Input \u001b[1;32mIn [12]\u001b[0m, in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[0m pop_Seoul \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_excel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../data/01. population_in_Seoul.xls\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43meuc-kr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2\u001b[0m pop_Seoul\u001b[38;5;241m.\u001b[39mhead()\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\util\\_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[0;32m 306\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 307\u001b[0m msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39marguments),\n\u001b[0;32m 308\u001b[0m \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[0;32m 309\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[0;32m 310\u001b[0m )\n\u001b[1;32m--> 311\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "\u001b[1;31mTypeError\u001b[0m: read_excel() got an unexpected keyword argument 'encoding'" + ] + } + ], + "source": [ + "pop_Seoul = pd.read_excel('../data/01. population_in_Seoul.xls', encoding='euc-kr')\n", + "pop_Seoul.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "0563367a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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기간자치구세대인구인구.1인구.2인구.3인구.4인구.5인구.6인구.7인구.8세대당인구65세이상고령자
0기간자치구세대합계합계합계한국인한국인한국인등록외국인등록외국인등록외국인세대당인구65세이상고령자
1기간자치구세대계남자여자계남자여자계남자여자세대당인구65세이상고령자
22021합계44260079736027472197750140509509458461804048914182265691039371226322.151605416
32021종로구73494153789741867960314468370183745009106400351031.9727818
42021중구63519131787640836770412249959630628699288445348351.9324392
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자치구계계.1계.265세이상고령자
0합계973602795094582265691605416
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
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구별인구수한국인외국인고령자
0합계973602795094582265691605416
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
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" + ], + "text/plain": [ + " 구별 인구수 한국인 외국인 고령자\n", + "0 합계 9736027 9509458 226569 1605416\n", + "1 종로구 153789 144683 9106 27818\n", + "2 중구 131787 122499 9288 24392\n", + "3 용산구 237285 222953 14332 39070\n", + "4 성동구 292672 285990 6682 46380" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul.rename(columns={pop_Seoul.columns[0] : '구별', \n", + " pop_Seoul.columns[1] : '인구수', \n", + " pop_Seoul.columns[2] : '한국인', \n", + " pop_Seoul.columns[3] : '외국인', \n", + " pop_Seoul.columns[4] : '고령자'}, inplace=True)\n", + "pop_Seoul.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "b59e9a19", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "983ac246", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 1.0\n", + "1 3.0\n", + "2 5.0\n", + "3 NaN\n", + "4 6.0\n", + "5 8.0\n", + "dtype: float64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = pd.Series([1,3,5,np.nan,6,8])\n", + "s" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "c213366b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['2022-02-17', '2022-02-18', '2022-02-19', '2022-02-20',\n", + " '2022-02-21', '2022-02-22'],\n", + " dtype='datetime64[ns]', freq='D')" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dates = pd.date_range('20220217', periods=6)\n", + "dates" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "93aac15f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[0;32m 665\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[0;32m 666\u001b[0m dialect,\n\u001b[0;32m 667\u001b[0m delimiter,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 676\u001b[0m defaults\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelimiter\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m\"\u001b[39m},\n\u001b[0;32m 677\u001b[0m )\n\u001b[0;32m 678\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[1;32m--> 680\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:575\u001b[0m, in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m 572\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[0;32m 574\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[1;32m--> 575\u001b[0m parser \u001b[38;5;241m=\u001b[39m TextFileReader(filepath_or_buffer, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[0;32m 577\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[0;32m 578\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:933\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m 930\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m 932\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m--> 933\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:1217\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[1;34m(self, f, engine)\u001b[0m\n\u001b[0;32m 1213\u001b[0m mode \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 1214\u001b[0m \u001b[38;5;66;03m# error: No overload variant of \"get_handle\" matches argument types\u001b[39;00m\n\u001b[0;32m 1215\u001b[0m \u001b[38;5;66;03m# \"Union[str, PathLike[str], ReadCsvBuffer[bytes], ReadCsvBuffer[str]]\"\u001b[39;00m\n\u001b[0;32m 1216\u001b[0m \u001b[38;5;66;03m# , \"str\", \"bool\", \"Any\", \"Any\", \"Any\", \"Any\", \"Any\"\u001b[39;00m\n\u001b[1;32m-> 1217\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# type: ignore[call-overload]\u001b[39;49;00m\n\u001b[0;32m 1218\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1219\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1220\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1221\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1222\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1223\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1224\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1225\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1226\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1227\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 1228\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\common.py:789\u001b[0m, in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[0;32m 784\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m 785\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[0;32m 786\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[0;32m 787\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[0;32m 788\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[1;32m--> 789\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[0;32m 790\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 791\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 792\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 793\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 794\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 795\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 796\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 797\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[0;32m 798\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../data/02. crime_in_Seoul.csv'" + ] + } + ], + "source": [ + "crime_anal_police = pd.read_csv('../data/02. crime_in_Seoul.csv', thousands=',', encoding='euc-kr')\n", + "crime_anal_police.head()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/data/01. CCTV_in_Seoul.csv b/data/01. CCTV_in_Seoul.csv new file mode 100644 index 0000000..8f327d0 --- /dev/null +++ b/data/01. CCTV_in_Seoul.csv @@ -0,0 +1,27 @@ +,Ѱ,2012 ,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021, +,77032 ,7667 ,2200 ,3491 ,4439 ,6582 ,8129 ,9947 ,9876 ,11961 ,11132 ,1608 , +α,1772 ,813 ,0 ,0 ,210 ,150 ,1 ,261 ,85 ,9 ,200 ,43 , + ,2333 ,16 ,114 ,87 ,77 ,236 ,240 ,372 ,386 ,155 ,361 ,289 , +걸,2383 ,34 ,71 ,234 ,125 ,221 ,298 ,351 ,125 ,307 ,617 ,0 , +,3602 ,448 ,125 ,212 ,105 ,339 ,310 ,874 ,390 ,262 ,461 ,76 , +,2588 ,35 ,57 ,100 ,187 ,98 ,52 ,675 ,465 ,712 ,175 ,32 , +빮,2497 ,1090 ,146 ,60 ,29 ,111 ,233 ,136 ,197 ,209 ,223 ,63 , +߶,3296 ,302 ,24 ,253 ,88 ,141 ,161 ,162 ,173 ,1049 ,939 ,4 , +ϱ,3958 ,83 ,78 ,170 ,230 ,323 ,594 ,460 ,867 ,714 ,251 ,188 , +ϱ,2462 ,0 ,0 ,24 ,65 ,105 ,243 ,6 ,392 ,1000 ,588 ,39 , +,1629 ,39 ,22 ,96 ,181 ,79 ,159 ,134 ,222 ,198 ,168 ,331 , +,2415 ,0 ,97 ,193 ,77 ,516 ,331 ,175 ,216 ,320 ,386 ,104 , +,3791 ,14 ,3 ,44 ,332 ,329 ,555 ,403 ,635 ,1057 ,288 ,131 , +빮,2940 ,730 ,253 ,155 ,108 ,137 ,223 ,356 ,237 ,343 ,397 ,1 , +,2421 ,58 ,93 ,77 ,61 ,162 ,454 ,359 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\u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../data/01. CCTV_in_Seoul.csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2\u001b[0m CCTV_Seoul\u001b[38;5;241m.\u001b[39mhead()\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\util\\_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[0;32m 306\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 307\u001b[0m msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39marguments),\n\u001b[0;32m 308\u001b[0m \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[0;32m 309\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[0;32m 310\u001b[0m )\n\u001b[1;32m--> 311\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:680\u001b[0m, in \u001b[0;36mread_csv\u001b[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[0;32m 665\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[0;32m 666\u001b[0m dialect,\n\u001b[0;32m 667\u001b[0m delimiter,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 676\u001b[0m defaults\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelimiter\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m\"\u001b[39m},\n\u001b[0;32m 677\u001b[0m )\n\u001b[0;32m 678\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[1;32m--> 680\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:575\u001b[0m, in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m 572\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[0;32m 574\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[1;32m--> 575\u001b[0m parser \u001b[38;5;241m=\u001b[39m TextFileReader(filepath_or_buffer, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[0;32m 577\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[0;32m 578\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:933\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m 930\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m 932\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m--> 933\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\parsers\\readers.py:1217\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[1;34m(self, f, engine)\u001b[0m\n\u001b[0;32m 1213\u001b[0m mode \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 1214\u001b[0m \u001b[38;5;66;03m# error: No overload variant of \"get_handle\" matches argument types\u001b[39;00m\n\u001b[0;32m 1215\u001b[0m \u001b[38;5;66;03m# \"Union[str, PathLike[str], ReadCsvBuffer[bytes], ReadCsvBuffer[str]]\"\u001b[39;00m\n\u001b[0;32m 1216\u001b[0m \u001b[38;5;66;03m# , \"str\", \"bool\", \"Any\", \"Any\", \"Any\", \"Any\", \"Any\"\u001b[39;00m\n\u001b[1;32m-> 1217\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# type: ignore[call-overload]\u001b[39;49;00m\n\u001b[0;32m 1218\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1219\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1220\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1221\u001b[0m \u001b[43m 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\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1223\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1224\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1225\u001b[0m \u001b[43m 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\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\io\\common.py:789\u001b[0m, in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[0;32m 784\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m 785\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[0;32m 786\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[0;32m 787\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[0;32m 788\u001b[0m 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795\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 796\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 797\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[0;32m 798\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../data/01. CCTV_in_Seoul.csv'" + ] + } + ], + "source": [ + "CCTV_Seoul = pd.read_csv('../data/01. CCTV_in_Seoul.csv')\n", + "CCTV_Seoul.head()\n", + "# 책에서는 encoding='utf-8'이었지만 뭐가 바뀌었는지 'euc-kr'로 해야한다.." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "653f5a52", + "metadata": {}, + "outputs": [], + "source": [ + "CCTV_Seoul.columns\n", + "# 첫줄도 좀 바뀌었네..." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "fbde9a7b", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "read_excel() got an unexpected keyword argument 'encoding'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "Input \u001b[1;32mIn [12]\u001b[0m, in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[0m pop_Seoul \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_excel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../data/01. population_in_Seoul.xls\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43meuc-kr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2\u001b[0m pop_Seoul\u001b[38;5;241m.\u001b[39mhead()\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\util\\_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[0;32m 306\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 307\u001b[0m msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39marguments),\n\u001b[0;32m 308\u001b[0m \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[0;32m 309\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[0;32m 310\u001b[0m )\n\u001b[1;32m--> 311\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "\u001b[1;31mTypeError\u001b[0m: read_excel() got an unexpected keyword argument 'encoding'" + ] + } + ], + "source": [ + "pop_Seoul = pd.read_excel('../data/01. population_in_Seoul.xls', encoding='euc-kr')\n", + "pop_Seoul.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "0563367a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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기간자치구세대인구인구.1인구.2인구.3인구.4인구.5인구.6인구.7인구.8세대당인구65세이상고령자
0기간자치구세대합계합계합계한국인한국인한국인등록외국인등록외국인등록외국인세대당인구65세이상고령자
1기간자치구세대계남자여자계남자여자계남자여자세대당인구65세이상고령자
22021합계44260079736027472197750140509509458461804048914182265691039371226322.151605416
32021종로구73494153789741867960314468370183745009106400351031.9727818
42021중구63519131787640836770412249959630628699288445348351.9324392
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" + ], + "text/plain": [ + " 기간 자치구 세대 인구 인구.1 인구.2 인구.3 인구.4 인구.5 \\\n", + "0 기간 자치구 세대 합계 합계 합계 한국인 한국인 한국인 \n", + "1 기간 자치구 세대 계 남자 여자 계 남자 여자 \n", + "2 2021 합계 4426007 9736027 4721977 5014050 9509458 4618040 4891418 \n", + "3 2021 종로구 73494 153789 74186 79603 144683 70183 74500 \n", + "4 2021 중구 63519 131787 64083 67704 122499 59630 62869 \n", + "\n", + " 인구.6 인구.7 인구.8 세대당인구 65세이상고령자 \n", + "0 등록외국인 등록외국인 등록외국인 세대당인구 65세이상고령자 \n", + "1 계 남자 여자 세대당인구 65세이상고령자 \n", + "2 226569 103937 122632 2.15 1605416 \n", + "3 9106 4003 5103 1.97 27818 \n", + "4 9288 4453 4835 1.93 24392 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul = pd.read_excel('../data/01. population_in_Seoul.xls')\n", + "pop_Seoul.head()\n", + "# 이건 encoding 자체를 안쓰는 함수네. 따로 xlrd모듈도 깔아줌" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "ec93bd63", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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자치구계계.1계.265세이상고령자
0합계973602795094582265691605416
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
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구별인구수한국인외국인고령자
0합계973602795094582265691605416
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
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" + ], + "text/plain": [ + " 구별 인구수 한국인 외국인 고령자\n", + "0 합계 9736027 9509458 226569 1605416\n", + "1 종로구 153789 144683 9106 27818\n", + "2 중구 131787 122499 9288 24392\n", + "3 용산구 237285 222953 14332 39070\n", + "4 성동구 292672 285990 6682 46380" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul.rename(columns={pop_Seoul.columns[0] : '구별', \n", + " pop_Seoul.columns[1] : '인구수', \n", + " pop_Seoul.columns[2] : '한국인', \n", + " pop_Seoul.columns[3] : '외국인', \n", + " pop_Seoul.columns[4] : '고령자'}, inplace=True)\n", + "pop_Seoul.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "b59e9a19", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "983ac246", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 1.0\n", + "1 3.0\n", + "2 5.0\n", + "3 NaN\n", + "4 6.0\n", + "5 8.0\n", + "dtype: float64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = pd.Series([1,3,5,np.nan,6,8])\n", + "s" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "c213366b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['2022-02-17', '2022-02-18', '2022-02-19', '2022-02-20',\n", + " '2022-02-21', '2022-02-22'],\n", + " dtype='datetime64[ns]', freq='D')" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dates = pd.date_range('20220217', periods=6)\n", + "dates" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "93aac15f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ABCD
2022-02-170.3663441.338046-0.8302450.275845
2022-02-181.837906-0.2045800.1964150.363161
2022-02-19-0.796440-0.1275180.2960450.366960
2022-02-20-0.193786-0.715238-1.4476320.105631
2022-02-210.5994010.399818-0.4584770.899472
2022-02-221.4167850.010559-0.3539620.121629
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ABCD
2022-02-170.3663441.338046-0.8302450.275845
2022-02-181.837906-0.2045800.1964150.363161
2022-02-19-0.796440-0.1275180.2960450.366960
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ABCD
count6.0000006.0000006.0000006.000000
mean0.5383680.116848-0.4329760.355450
std0.9809680.6982970.6514360.289679
min-0.796440-0.715238-1.4476320.105631
25%-0.053754-0.185314-0.7373030.160183
50%0.482873-0.058479-0.4062190.319503
75%1.2124390.3025030.0588210.366010
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ABCD
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ABCDE
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ABCD
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구분총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년
0계77,0327,6672,2003,4914,4396,5828,1299,9479,87611,96111,1321,608
1종로구1,77281300210150126185920043
2중 구2,333161148777236240372386155361289
3용산구2,38334712341252212983511253076170
4성동구3,60244812521210533931087439026246176
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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년
0계77,0327,6672,2003,4914,4396,5828,1299,9479,87611,96111,1321,608
1종로구1,77281300210150126185920043
2중 구2,333161148777236240372386155361289
3용산구2,38334712341252212983511253076170
4성동구3,60244812521210533931087439026246176
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0기간자치구세대합계합계합계한국인한국인한국인등록외국인등록외국인등록외국인세대당인구65세이상고령자
1기간자치구세대계남자여자계남자여자계남자여자세대당인구65세이상고령자
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42021중구63519131787640836770412249959630628699288445348351.9324392
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자치구계계.1계.265세이상고령자
0합계973602795094582265691605416
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
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구별인구수한국인외국인고령자인구.2인구.3인구.4인구.5인구.6인구.7인구.8세대당인구65세이상고령자
0기간자치구세대합계합계합계한국인한국인한국인등록외국인등록외국인등록외국인세대당인구65세이상고령자
1기간자치구세대계남자여자계남자여자계남자여자세대당인구65세이상고령자
22021합계44260079736027472197750140509509458461804048914182265691039371226322.151605416
32021종로구73494153789741867960314468370183745009106400351031.9727818
42021중구63519131787640836770412249959630628699288445348351.9324392
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" + ], + "text/plain": [ + " 구별 인구수 한국인 외국인 고령자 인구.2 인구.3 인구.4 인구.5 \\\n", + "0 기간 자치구 세대 합계 합계 합계 한국인 한국인 한국인 \n", + "1 기간 자치구 세대 계 남자 여자 계 남자 여자 \n", + "2 2021 합계 4426007 9736027 4721977 5014050 9509458 4618040 4891418 \n", + "3 2021 종로구 73494 153789 74186 79603 144683 70183 74500 \n", + "4 2021 중구 63519 131787 64083 67704 122499 59630 62869 \n", + "\n", + " 인구.6 인구.7 인구.8 세대당인구 65세이상고령자 \n", + "0 등록외국인 등록외국인 등록외국인 세대당인구 65세이상고령자 \n", + "1 계 남자 여자 세대당인구 65세이상고령자 \n", + "2 226569 103937 122632 2.15 1605416 \n", + "3 9106 4003 5103 1.97 27818 \n", + "4 9288 4453 4835 1.93 24392 " + ] + }, + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul.rename(columns={pop_Seoul.columns[0] : '구별', \n", + " pop_Seoul.columns[1] : '인구수', \n", + " pop_Seoul.columns[2] : '한국인', \n", + " pop_Seoul.columns[3] : '외국인', \n", + " pop_Seoul.columns[4] : '고령자'}, inplace=True)\n", + "# 대신에 pop_Seoul.columns = ['구별', '인구수', '한국인', '외국인', '고령자'] 로 표현할 수 있음.\n", + "\n", + "pop_Seoul.head()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8d03dc79", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b00a2ee4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 1.0\n", + "1 3.0\n", + "2 5.0\n", + "3 NaN\n", + "4 6.0\n", + "5 8.0\n", + "dtype: float64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = pd.Series([1,3,5,np.nan,6,8])\n", + "s" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "bd921d05", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['2022-02-17', '2022-02-18', '2022-02-19', '2022-02-20',\n", + " '2022-02-21', '2022-02-22'],\n", + " dtype='datetime64[ns]', freq='D')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dates = pd.date_range('20220217', periods=6)\n", + "dates" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "594304d2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ABCD
2022-02-17-0.100987-0.4457791.130213-1.196732
2022-02-18-1.224428-0.507282-0.177017-2.032944
2022-02-190.269976-0.2084130.646906-1.046876
2022-02-200.587214-0.5919951.788319-0.248610
2022-02-210.333481-1.0621910.927084-1.276234
2022-02-22-1.4378670.396114-1.8926390.559523
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ABCD
2022-02-17-0.100987-0.4457791.130213-1.196732
2022-02-18-1.224428-0.507282-0.177017-2.032944
2022-02-190.269976-0.2084130.646906-1.046876
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ABCD
count6.0000006.0000006.0000006.000000
mean-0.262102-0.4032580.403811-0.873645
std0.8594900.4815401.2952590.903890
min-1.437867-1.062191-1.892639-2.032944
25%-0.943568-0.5708170.028964-1.256359
50%0.084495-0.4765310.786995-1.121804
75%0.317605-0.2677551.079431-0.448176
max0.5872140.3961141.7883190.559523
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ABCD
2022-02-22-1.4378670.396114-1.8926390.559523
2022-02-190.269976-0.2084130.646906-1.046876
2022-02-17-0.100987-0.4457791.130213-1.196732
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2022-02-200.587214-0.5919951.788319-0.248610
2022-02-210.333481-1.0621910.927084-1.276234
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ABCD
2022-02-17-0.100987-0.4457791.130213-1.196732
2022-02-18-1.224428-0.507282-0.177017-2.032944
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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년
0계77,0327,6672,2003,4914,4396,5828,1299,9479,87611,96111,1321,608
1종로구1,77281300210150126185920043
2중 구2,333161148777236240372386155361289
3용산구2,38334712341252212983511253076170
4성동구3,60244812521210533931087439026246176
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" + ], + "text/plain": [ + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 계 77,032 7,667 2,200 3,491 4,439 6,582 8,129 9,947 9,876 \n", + "1 종로구 1,772 813 0 0 210 150 1 261 85 \n", + "2 중 구 2,333 16 114 87 77 236 240 372 386 \n", + "3 용산구 2,383 34 71 234 125 221 298 351 125 \n", + "4 성동구 3,602 448 125 212 105 339 310 874 390 \n", + "\n", + " 2019년 2020년 2021년 \n", + "0 11,961 11,132 1,608 \n", + "1 9 200 43 \n", + "2 155 361 289 \n", + "3 307 617 0 \n", + "4 262 461 76 " + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CCTV_Seoul.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "id": "3da78267", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년
10도봉구1,62939229618179159134222198168331
1종로구1,77281300210150126185920043
20동작구2,29741242550312825327130032241911
2중 구2,333161148777236240372386155361289
18금천구2,37400178803611331965403695089
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" + ], + "text/plain": [ + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 2019년 2020년 \\\n", + "10 도봉구 1,629 39 22 96 181 79 159 134 222 198 168 \n", + "1 종로구 1,772 813 0 0 210 150 1 261 85 9 200 \n", + "20 동작구 2,297 41 24 25 503 128 253 271 300 322 419 \n", + "2 중 구 2,333 16 114 87 77 236 240 372 386 155 361 \n", + "18 금천구 2,374 0 0 178 80 361 133 196 540 369 508 \n", + "\n", + " 2021년 \n", + "10 331 \n", + "1 43 \n", + "20 11 \n", + "2 289 \n", + "18 9 " + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CCTV_Seoul.sort_values(by='총계', ascending=True).head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "a959e435", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for /: 'str' and 'str'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:163\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 162\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 163\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 164\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:239\u001b[0m, in \u001b[0;36mevaluate\u001b[1;34m(op, a, b, use_numexpr)\u001b[0m\n\u001b[0;32m 237\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m use_numexpr:\n\u001b[0;32m 238\u001b[0m \u001b[38;5;66;03m# error: \"None\" not callable\u001b[39;00m\n\u001b[1;32m--> 239\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_evaluate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop_str\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m 240\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _evaluate_standard(op, op_str, a, b)\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:69\u001b[0m, in \u001b[0;36m_evaluate_standard\u001b[1;34m(op, op_str, a, b)\u001b[0m\n\u001b[0;32m 68\u001b[0m _store_test_result(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m---> 69\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mop\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for /: 'str' and 'str'", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "Input \u001b[1;32mIn [132]\u001b[0m, in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[0m CCTV_Seoul[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m최근증가율\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43m(\u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2021년\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2020년\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2019년\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2018년\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m100\u001b[39m\n\u001b[0;32m 2\u001b[0m CCTV_Seoul\u001b[38;5;241m.\u001b[39msort_values(by\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m최근증가율\u001b[39m\u001b[38;5;124m'\u001b[39m, ascending\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\u001b[38;5;241m.\u001b[39mhead(\u001b[38;5;241m5\u001b[39m)\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\common.py:70\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer..new_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 66\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m\n\u001b[0;32m 68\u001b[0m other \u001b[38;5;241m=\u001b[39m item_from_zerodim(other)\n\u001b[1;32m---> 70\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\arraylike.py:124\u001b[0m, in \u001b[0;36mOpsMixin.__truediv__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 122\u001b[0m \u001b[38;5;129m@unpack_zerodim_and_defer\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__truediv__\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 123\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__truediv__\u001b[39m(\u001b[38;5;28mself\u001b[39m, other):\n\u001b[1;32m--> 124\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moperator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtruediv\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\series.py:5639\u001b[0m, in \u001b[0;36mSeries._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 5637\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_arith_method\u001b[39m(\u001b[38;5;28mself\u001b[39m, other, op):\n\u001b[0;32m 5638\u001b[0m \u001b[38;5;28mself\u001b[39m, other \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39malign_method_SERIES(\u001b[38;5;28mself\u001b[39m, other)\n\u001b[1;32m-> 5639\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mIndexOpsMixin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\base.py:1295\u001b[0m, in \u001b[0;36mIndexOpsMixin._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 1292\u001b[0m rvalues \u001b[38;5;241m=\u001b[39m ensure_wrapped_if_datetimelike(rvalues)\n\u001b[0;32m 1294\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(\u001b[38;5;28mall\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m-> 1295\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mops\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marithmetic_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1297\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_construct_result(result, name\u001b[38;5;241m=\u001b[39mres_name)\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:222\u001b[0m, in \u001b[0;36marithmetic_op\u001b[1;34m(left, right, op)\u001b[0m\n\u001b[0;32m 217\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 218\u001b[0m \u001b[38;5;66;03m# TODO we should handle EAs consistently and move this check before the if/else\u001b[39;00m\n\u001b[0;32m 219\u001b[0m \u001b[38;5;66;03m# (https://github.com/pandas-dev/pandas/issues/41165)\u001b[39;00m\n\u001b[0;32m 220\u001b[0m _bool_arith_check(op, left, right)\n\u001b[1;32m--> 222\u001b[0m res_values \u001b[38;5;241m=\u001b[39m \u001b[43m_na_arithmetic_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 224\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res_values\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:170\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 164\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m 165\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_cmp \u001b[38;5;129;01mand\u001b[39;00m (is_object_dtype(left\u001b[38;5;241m.\u001b[39mdtype) \u001b[38;5;129;01mor\u001b[39;00m is_object_dtype(right)):\n\u001b[0;32m 166\u001b[0m \u001b[38;5;66;03m# For object dtype, fallback to a masked operation (only operating\u001b[39;00m\n\u001b[0;32m 167\u001b[0m \u001b[38;5;66;03m# on the non-missing values)\u001b[39;00m\n\u001b[0;32m 168\u001b[0m \u001b[38;5;66;03m# Don't do this for comparisons, as that will handle complex numbers\u001b[39;00m\n\u001b[0;32m 169\u001b[0m \u001b[38;5;66;03m# incorrectly, see GH#32047\u001b[39;00m\n\u001b[1;32m--> 170\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43m_masked_arith_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 171\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 172\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:108\u001b[0m, in \u001b[0;36m_masked_arith_op\u001b[1;34m(x, y, op)\u001b[0m\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# See GH#5284, GH#5035, GH#19448 for historical reference\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mask\u001b[38;5;241m.\u001b[39many():\n\u001b[1;32m--> 108\u001b[0m result[mask] \u001b[38;5;241m=\u001b[39m \u001b[43mop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mxrav\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43myrav\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 110\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_scalar(y):\n", + "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for /: 'str' and 'str'" + ] + } + ], + "source": [ + "CCTV_Seoul['최근증가율'] = (CCTV_Seoul['2021년'] + CCTV_Seoul['2020년'] + CCTV_Seoul['2019년']) / CCTV_Seoul['2018년'] * 100\n", + "CCTV_Seoul.sort_values(by='최근증가율', ascending=False).head(5)\n", + "# typeError....." + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "412664e5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별인구수한국인외국인고령자
0합계973602795094582265691605416
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
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구별인구수한국인외국인고령자
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
5광진구3526273399961263151723
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구별인구수한국인외국인고령자
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구별인구수한국인외국인고령자외국인비율고령자비율
1종로구1537891446839106278185.92110018.088420
2중구1317871224999288243927.04773618.508654
3용산구23728522295314332390706.03999416.465432
4성동구2926722859906682463802.28310215.847092
5광진구35262733999612631517233.58197214.667907
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구별인구수한국인외국인고령자외국인비율고령자비율
24송파구6639656583385627976910.84748414.713276
16강서구5797685743155453925580.94054915.964662
23강남구5378005330424758782260.88471614.545556
11노원구5149465109563990883450.77483917.156168
21관악구49944948569913750798712.75303415.991823
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구별인구수한국인외국인고령자외국인비율고령자비율
17구로구42116339675424409726115.79561817.240593
19영등포구40090837683724071625166.00412115.593603
6동대문구35200633740014606622114.14936117.673278
3용산구23728522295314332390706.03999416.465432
18금천구24489123081114080410415.74949716.758885
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구별인구수한국인외국인고령자외국인비율고령자비율
2중구1317871224999288243927.04773618.508654
3용산구23728522295314332390706.03999416.465432
19영등포구40090837683724071625166.00412115.593603
1종로구1537891446839106278185.92110018.088420
17구로구42116339675424409726115.79561817.240593
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구별인구수한국인외국인고령자외국인비율고령자비율
24송파구6639656583385627976910.84748414.713276
16강서구5797685743155453925580.94054915.964662
11노원구5149465109563990883450.77483917.156168
12은평구4771734733073866872410.81018818.282887
21관악구49944948569913750798712.75303415.991823
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구별인구수한국인외국인고령자외국인비율고령자비율
9강북구3025632991823381643331.11745321.262679
10도봉구3193733173662007641600.62841920.089363
2중구1317871224999288243927.04773618.508654
7중랑구3918853873504535716821.15722718.291591
12은평구4771734733073866872410.81018818.282887
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1A1B1C1D1
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ABCD
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1A1B1C1D1
2A2B2C2D2
3A3B3C3D3
y4A4B4C4D4
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\u001b[49m\u001b[43mpop_Seoul\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mon\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m구별\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2\u001b[0m data_result\u001b[38;5;241m.\u001b[39mhead()\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:107\u001b[0m, in \u001b[0;36mmerge\u001b[1;34m(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)\u001b[0m\n\u001b[0;32m 90\u001b[0m \u001b[38;5;129m@Substitution\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mleft : DataFrame or named Series\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 91\u001b[0m \u001b[38;5;129m@Appender\u001b[39m(_merge_doc, indents\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m 92\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmerge\u001b[39m(\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 105\u001b[0m validate: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m 106\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m DataFrame:\n\u001b[1;32m--> 107\u001b[0m op \u001b[38;5;241m=\u001b[39m \u001b[43m_MergeOperation\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 108\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 109\u001b[0m \u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 110\u001b[0m \u001b[43m \u001b[49m\u001b[43mhow\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 111\u001b[0m \u001b[43m \u001b[49m\u001b[43mon\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mon\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 112\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft_on\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mleft_on\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 113\u001b[0m \u001b[43m \u001b[49m\u001b[43mright_on\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mright_on\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 114\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mleft_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 115\u001b[0m \u001b[43m \u001b[49m\u001b[43mright_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mright_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 116\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 117\u001b[0m \u001b[43m \u001b[49m\u001b[43msuffixes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msuffixes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 118\u001b[0m \u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 119\u001b[0m \u001b[43m \u001b[49m\u001b[43mindicator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindicator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 120\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalidate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalidate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 121\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 122\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m op\u001b[38;5;241m.\u001b[39mget_result()\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:700\u001b[0m, in \u001b[0;36m_MergeOperation.__init__\u001b[1;34m(self, left, right, how, on, left_on, right_on, axis, left_index, right_index, sort, suffixes, copy, indicator, validate)\u001b[0m\n\u001b[0;32m 693\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cross \u001b[38;5;241m=\u001b[39m cross_col\n\u001b[0;32m 695\u001b[0m \u001b[38;5;66;03m# note this function has side effects\u001b[39;00m\n\u001b[0;32m 696\u001b[0m (\n\u001b[0;32m 697\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mleft_join_keys,\n\u001b[0;32m 698\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mright_join_keys,\n\u001b[0;32m 699\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mjoin_names,\n\u001b[1;32m--> 700\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_merge_keys\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 702\u001b[0m \u001b[38;5;66;03m# validate the merge keys dtypes. We may need to coerce\u001b[39;00m\n\u001b[0;32m 703\u001b[0m \u001b[38;5;66;03m# to avoid incompatible dtypes\u001b[39;00m\n\u001b[0;32m 704\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_maybe_coerce_merge_keys()\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:1110\u001b[0m, in \u001b[0;36m_MergeOperation._get_merge_keys\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1108\u001b[0m right_keys\u001b[38;5;241m.\u001b[39mappend(rk)\n\u001b[0;32m 1109\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m lk \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1110\u001b[0m left_keys\u001b[38;5;241m.\u001b[39mappend(\u001b[43mleft\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_label_or_level_values\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlk\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m 1111\u001b[0m join_names\u001b[38;5;241m.\u001b[39mappend(lk)\n\u001b[0;32m 1112\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 1113\u001b[0m \u001b[38;5;66;03m# work-around for merge_asof(left_index=True)\u001b[39;00m\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\generic.py:1848\u001b[0m, in \u001b[0;36mNDFrame._get_label_or_level_values\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m 1846\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes[axis]\u001b[38;5;241m.\u001b[39mget_level_values(key)\u001b[38;5;241m.\u001b[39m_values\n\u001b[0;32m 1847\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1848\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key)\n\u001b[0;32m 1850\u001b[0m \u001b[38;5;66;03m# Check for duplicates\u001b[39;00m\n\u001b[0;32m 1851\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m values\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n", + "\u001b[1;31mKeyError\u001b[0m: '구별'" + ] + } + ], + "source": [ + "data_result = pd.merge(CCTV_Seoul, pop_Seoul, on='구별')\n", + "data_result.head() # 새 원본 데이터를 깔아야... 근데 최신데이터로 보고싶은걸" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5d0b6a74", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55ae33be", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ed421891", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "c73a756b", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "eaeb4bca", + "metadata": {}, + "outputs": [ + { + "data": { + 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.plot([1,2,3,4,5,6,7,8,9,8,7,6,5,4,3,2,1,0])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "e3bda092", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "t = np.arange(0,12,0.01)\n", + "\n", + "y = np.sin(t)" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "8e6cd736", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y)\n", + "plt.grid()\n", + "plt.xlabel('time') # x축 라벨 적용하기\n", + "plt.ylabel('Amplitude') # y축 라벨 적용하기\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "9c6dee35", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y)\n", + "plt.grid()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "3a5116cb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, np.sin(t))\n", + "plt.plot(t, np.cos(t))\n", + "plt.grid()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "c17fdf77", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, np.sin(t), label='sin')\n", + "plt.plot(t, np.cos(t), label='cos')\n", + "plt.grid()\n", + "plt.legend()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "279e2935", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, np.sin(t), lw=3, label='sin')\n", + "plt.plot(t, np.cos(t), 'r', label='cos')\n", + "plt.grid()\n", + "plt.legend()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.ylim(-1.2, 1.2)\n", + "plt.xlim(0, np.pi)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "1b6604d7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = np.arange(0, 5, 0.5)\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, t, 'r--')\n", + "plt.plot(t, t**2, 'bs')\n", + "plt.plot(t, t**3, 'g^')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "3e3dee30", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = np.arange(0, 5, 0.5)\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "pl1 = plt.plot(t, t**2, 'bs')\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "pl2 = plt.plot(t, t**3, 'g^')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "9f40b944", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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JGApnKaw6hxSyEBYIqReChKQETDw4UXUO0XtxJBGRzq25sAYhMSHoXa43/Ev4q84hA1AhTwW0KtkKkw5Nws2nN1XnEKWLI4mIdOqPR3+g4/qOKJe7HCbXnaw6hwzIL7X/PFhyyI4hikuI0seRREQ68+rtK/hr/GEpLLHabzVsLG1UJ5EB8XTxxPcVv8fKsytx6NYh1TlE/wdHEhHpTPCWYJy8exJLmy9FXte8qnPIAA2qNAi5nHOh39Z+PBKADA5HEhHpxLLTyxB6PBRDKg1Bw8INVeeQgXKyccL4WuNx5PYRrDizQnUO0T9wJBGR1p27fw5do7qiat6qGFtzrOocMnBtS7WFTy4fDNkxBC+SX6jOIfofjiQi0qrnyc/hr/GHk40TVrZYCSsLK9VJZOD+OhLgdtJtTDo0SXUO0f9wJBGR1kgp0S2qGy4+uIgV36xALudcqpPISFTyrISWJVpi4sGJuPX0luocIgAcSUSkRaHHQrH8zHKMrj4atfLXUp1DRmZC7QlIk2kYunOo6hQiABxJRKQlx+8cR58tfVCvQD0MqzpMdQ4ZobyueTGw4kAsP7Mc0fHRqnOIOJKI6PM9ef0E/hp/uDu4Y2nzpbAQ/NJCn2ZI5SHI4ZQDwVuCIaVUnUNmjl/JiOizSCnRcX1H3Hx6E6v9V8Pd0V11Ehmxv44EiLkdg5VnV6rOITPHkUREnyUkOgTrLq7DhNoTUDFPRdU5ZAK+/fJblMlZBoN3DMbLty9V55AZ++BIEkIUEUKc/Ntfz4QQwXpoIyIDd+jWIQzaMQjNijZDP99+qnPIRPx1JED8s3hMPsSf90fqfHAkSSkvSSm9pZTeAMoCeAlgra7DiMiwPXj5AC0jWsLTxRMLmy6EEEJ1EpmQKnmrwL+4PyYcnID4Z/Gqc8hMfezttloArkop43QRQ0TGIU2moe2atrj/4j40/hq42rmqTiITNKH2BKSmpeKHnT+oTiEz9bEjKRAAX0lHZObG7R+HrVe3Ynr96SiTs4zqHDJR+dzyoX+F/lh6eimO3D6iOofMkMjoWyyFEDYAEgCUkFLeS+e/DwIQBACenp5l4+J4sYnIFO26vgt1ltZBYMlALGu+jLfZSKeS3iSh0MxCyO+WHwc7HeT/30gnhBDHpJQ+//74x1xJagDgeHoDCQCklKFSSh8ppY+7O98CTGSK7iTdQevI1iicpTB+bfQr/4VFOuds64xxtcbhcPxhhJ8LV51DZuZjRlIr8FYbkdlKSUtBYGQgkpKTEOEfAScbJ9VJZCbaf9kepXOUxqDtg/Dq7SvVOWRGMjSShBCOAOoAWKPbHCIyVCN2j8C+uH2Y13AeSmQroTqHzIilhSWm1ZuGW89uYcrhKapzyIxkaCRJKV9IKbNIKZ/qOoiIDM/Gyxsx/sB4fFfmO7T7sp3qHDJD1byqoUWxFhh/YDwSkhJU55CZ4InbRPSf4p7Eod3advDO4Y3p9aerziEzNrHORKSkpfBIANIbjiQieq/k1GQERAQgVaZC46+BvbW96iQyY/nd8qOfbz8sPrUYsQmxqnPIDHAkEdF7fb/texy5fQQLmixAwcwFVecQ4YcqPyCbYzYEbwlGRo+wIfpUHElElC7NOQ1mHJmBvuX7okXxFqpziAAAmWwz4eeaP+PgrYPQnNeoziETx5FERP/HlYdX0HlDZ/h6+GJinYmqc4j+oaN3R3yZ/UseCUA6x5FERP/w6u0r+Gn8YG1pjXC/cNhY2qhOIvqHv44EiHsah2nR01TnkAnjSCKif+i9uTdO3zuNZc2XwdPFU3UOUbpq5KuB5kWbY9z+cbiTdEd1DpkojiQi+p/FJxcj7EQYfqj8AxoUaqA6h+g/TaozCcmpyRi2a5jqFDJRHElEBAA4e/8sum/sjmp5q2F0jdGqc4g+qEDmAgj2Dcaik4twLOGY6hwyQRxJRISkN0nwW+2HTLaZsLLFSlhZWKlOIsqQYVWGIatDVvTb2o9HApDWcSQRmTkpJYKignDl0RWsbLESOZ1zqk4iyjAXOxf8VPMn7L+5H5EXIlXnkInhSCIyc/Ni52HV2VUYU30MauSroTqH6KN1Lt0ZpbKXwvfbv8frlNeqc8iEcCQRmbFjCccQvDUYDQo2wNAqQ1XnEH2Sv44EuPHkBkKiQ1TnkAnhSCIyU49fPYa/xh/ZHbNjafOlsBD8ckDGq2a+mmhapCnG7R+Hu8/vqs4hE8GvikRmSEqJjus74tazWwj3C0cWhyyqk4g+26Q6k/A65TWG7xquOoVMBEcSkRmaengq1l9aj0l1JqFCngqqc4i0olCWQuhTvg/CToTh5N2TqnPIBHAkEZmZgzcPYvCOwfim2DfoW76v6hwirfqx6o/I4pAFwVuCeSQAfTaOJCIzkvgiES0jWsLL1QsLmiyAEEJ1EpFWudq5YmyNsdgbtxfrLq5TnUNGjiOJyEykpqWi7dq2ePDyASICIuBi56I6iUgnupTpgpLZSmLg9oF4k/JGdQ4ZMY4kIjPx8/6fse3qNsxsMBPeObxV5xDpjJWFFabWnYprj69hRswM1TlkxDiSiMzAjms7MGrPKLQt1RZdynRRnUOkc3UK1EHjwo0xdt9Y3Ht+T3UOGSmOJCITl5CUgNaRrVHMvRjmNZzH1yGR2ZhcdzJepbzCiN0jVKeQkeJIIjJhKWkpCIwIxIu3LxDhHwFHG0fVSUR6UzhLYfQu1xvzT8zHqbunVOeQEeJIIjJhw3YOw/6b+xHaKBTF3IupziHSu+FVh8PNzg39tvbjkQD00TiSiEzU75d+x8RDE9G1bFe0KdVGdQ6REm72bhhTYwx239iNDZc2qM4hI8ORRGSCbjy5gfbr2qN0jtIIqR+iOodIqaCyQSjuXhwDtg3gkQD0UTiSiEzMm5Q38Nf4I02mQeOvgZ2VneokIqWsLKwwrd40XH18FbOOzFKdQ0aEI4nIxAzcNhCxCbFY2HQhCmQuoDqHyCDULVAXDQs1xJh9Y5D4IlF1DhmJDI0kIYSrECJCCHFRCHFBCMGfiElkgMLPhmPW0Vno79sfzYs1V51DZFAm152Ml29f8kgAyrCMXkmaDmCLlLIogC8BXNBdEhF9iksPLqHL711QwaMCfqn9i+ocIoNTNGtR9PyqJ0KPh+LMvTOqc8gIfHAkCSFcAFQFEAYAUspkKeUTHXcR0Ud4+fYl/DX+sLW0RbhfOKwtrVUnERmkEdVGwNXOlUcCUIZk5EpSPgCJABYKIU4IIeYLIXgiHZEB6bWpF87eP4tl3yxDHpc8qnOIDFZm+8wYXX00dl7fiajLUapzyMBlZCRZASgDYK6UsjSAFwCG/PtBQoggIUSsECI2MZEviiPSl4UnFmLhyYUYVmUY6hesrzqHyOB1LdsVxbIWw4BtA5Ccmqw6hwxYRkZSPIB4KWXMu19H4M/R9A9SylAppY+U0sfd3V2bjUT0HmfunUHPTT1Rw6sGRlUfpTqHyChYW1pjar2puPLoCmYfma06hwzYB0eSlPIugFtCiCLvPlQLwHmdVhHRBz178wx+Gj+42LlgRYsVsLSwVJ1EZDTqF6yPBgUbYPTe0Xjw8oHqHDJQGX13W28Ay4UQpwF4AxinsyIi+iApJYJ+D8Ifj/7AqharkMMph+okIqMzpe4UPE9+jpG7R6pOIQOVoZEkpTz57lZaKSllMynlY12HEdH7zTk6B+HnwvFzzZ9Rzaua6hwio1TMvRh6fNUD847Nw9n7Z1XnkAHiidtERubo7aPot7Ufvi70NQZVGqQ6h8iojaw2Ei62Lui/tT+PBKD/gyOJyIg8fvUY/hp/5HTOiSXNlsBC8B9hos+RxSELRlUfhe3XtmPTlU2qc8jA8CsskZFIk2lov649EpISsNpvNbI4ZFGdRGQSuvt0R5EsRdB/W3+8TX2rOocMCEcSkZGYfGgyfr/8OybXnYzyHuVV5xCZjL+OBLj88DLmHJ2jOocMCEcSkRHYH7cfP+z8Af7F/dG7XG/VOUQmp0HBBqhXoB5G7R2Fhy8fqs4hA8GRRGTg7r+4j8DIQORzy4f5TeZDCKE6icjkCCEwpe4UJL1Jwqg9o1TnkIHgSCIyYKlpqWgd2RqPXj1ChH8EMtlmUp1EZLJKZCuBbj7dMDd2Ls4n8sxk4kgiMmhj943Fzus7MavBLHyZ40vVOUQmb1T1UXC2dcaAbQNUp5AB4EgiMlDbrm7DmL1j0P7L9uhUupPqHCKzkNUhK0ZWG4ktf2zB5iubVeeQYhxJRAYo/lk82qxpg+LuxTH769l8HRKRHvX4qgcKZynMIwGII4nI0LxNfYvAiEC8TnmNiIAIONo4qk4iMis2ljaYUncKLj64iHmx81TnkEIcSUQG5oedP+DgrYMIbRSKolmLqs4hMksNCzVEnfx1MHLPSDx69Uh1DinCkURkQNZfXI/Jhyeju093tPqileocIrMlhMDUelPx9M1TjN4zWnUOKcKRRGQgrj2+hvbr2qNszrKYVm+a6hwis1cyW0l0LdsVs4/OxoXEC6pzSAGOJCID8DrlNQI0AQAAjb8Gtla2iouICABGVx8NJxsnDNw+UHUKKcCRRGQABmwdgGN3jmFxs8XI55ZPdQ4RvePu6I4R1UZg05VN2PLHFtU5pGccSUSKrTq7CnNi52BghYFoWrSp6hwi+pde5XqhYOaC6L+1P1LSUlTnkB5xJBEpdPHBRXTZ0AWV8lTCuFrjVOcQUTr+OhLgwoML+DX2V9U5pEccSUSKvHz7En6r/WBvbY9VfqtgbWmtOomI3qNx4caola8WRuwZgcevHqvOIT3hSCJSQEqJHht74HzieSz/Zjk8MnmoTiKi//DXkQBPXj/BmL1jVOeQnnAkESmw4MQCLD61GMOrDkfdAnVV5xBRBpTKXgpdSnfBrKOzcOnBJdU5pAccSUR6duruKfTa3Au189fGiGojVOcQ0UcYW3Ms7K3seSSAmeBIItKjZ2+ewV/jDzc7Nyz/ZjksLSxVJxHRR8jmmA3Dqw5H1OUobLu6TXUO6RhHEpGeSCnReUNnXHt8DeF+4cjmmE11EhF9gj7l+yC/W34eCWAGOJKI9GTWkVmIOB+BcbXGoUreKqpziOgT2VrZYnKdyTiXeA6/HftNdQ7pEEcSkR7ExMdgwLYBaFy4MQZW5GsZiIxds6LNUN2rOobvHo4nr5+oziEd4Ugi0rGHLx8iICIAuZxzYVGzRbAQ/MeOyNgJITCt3jQ8evUIY/eOVZ1DOsKv1kQ6lCbT8O26b3H3+V1o/DXIbJ9ZdRIRaYl3Dm90Lt0ZM47MwOWHl1XnkA5kaCQJIW4IIc4IIU4KIWJ1HUVkKiYenIhNVzZhat2p+Cr3V6pziEjLfqr5E+yt7PH99u9Vp5AOfMyVpBpSSm8ppY/OaohMyN4bezFs1zAElAhAj696qM4hIh3I7pQdw6oMw4ZLG7Dj2g7VOaRlvN1GpAP3nt9DYGQgCmYuiPmN50MIoTqJiHSkr29f5HPNh35b+/FIABOT0ZEkAWwTQhwTQgTpMojImD178wzTo6fDN8wXT14/QYR/BJxtnVVnEZEO2VnZYVKdSTh7/ywGbB2ANJmmOom0xCqDj6sspbwthMgGYLsQ4qKUct/fH/BuPAUBgKenp5YziQzb9cfXMSNmBsJOhCEpOQkV81REWJMwfJH9C9VpRKQH3xT7Br3L9caMIzNw5/kdLGm+BHZWdqqz6DNlaCRJKW+/+8/7Qoi1AMoB2Pevx4QCCAUAHx8fqeVOIoMjpcT+m/sREh2C9ZfWw0JYIKBEAPqW74tyucupziMiPRJCYHr96cjrkhcDtw9EQlIC1geuRxaHLKrT6DN8cCQJIRwBWEgpk979fV0AY3ReRmSgklOTEX42HCExITh+5zgy22fG4EqD0eOrHvDI5KE6j4gUEUJgQMUByOOSB+3WtkOlBZWwqc0m5HfLrzqNPlFGriRlB7D23QtPrQCskFJu0WkVkQFKfJGIebHzMCd2Du4+v4tiWYvh10a/om2ptnCwdlCdR0QGIqBEAHI65UTTVU1RIawColpF8QgQIyWk1P6dMR8fHxkby+OUyDScuXcG02OmY9npZXiT+gb1C9ZHcPlg1C1Ql+9aI6L3uvjgIhosb4D7L+5jVYtVaFykseokeg8hxLH0jjjiEQBE6UiTaYi6HIXaS2qj1LxSWHFmBTp6d8T5Huexuc1m1CtYjwOJiP5T0axFEd05GsXdi6NZeDPMPTpXdRJ9pIy+u43ILDxPfo7FJxdjesx0XHl0Bbmdc2N8rfH4rsx3fAEmEX207E7Zsaf9HgRGBqLHph648eQGxtcez5/haCQ4kogA3Hx6EzNjZuK347/h6ZunKJe7HFa2WIkWxVrA2tJadR4RGTFHG0esbbkWvTf1xsRDE3Hz2U0saroItla2qtPoAziSyGxJKXE4/jBCokOw5sIaAECL4i0QXD4YFfJUUFxHRKbEysIKcxrOgZerF4bsHIKEpASsa7kObvZuqtPoP3Akkdl5m/oWmvMahESH4GjCUbjauWJAhQHoWa4nPF14ECoR6YYQAoMrD4aniyc6rO/wvyMCvFy9VKfRe3Akkdl4+PIhQo+FYtbRWUhISkDhLIUx++vZaP9lezjaOKrOIyIz0eqLVsjlnAvNwpv974iAsrnKqs6idPCVY2TyzieeR9ffuyLPtDz4YdcPKOFeAhtbb8SFnhfQ46seHEhEpHfVvKrhYKeDsLG0QbVF1bDpyibVSZQOjiQySVJKbPljC+ovq48Sc0pg8anFaPNFG5zpfgbb2m3D14W+5rtLiEip4u7FEd05GoWzFEaTlU0QeixUdRL9C2+3kUl5+fYllp5aiukx03HhwQXkdMqJn2r8hKCyQXB3dFedR0T0Dzmdc2Jfx30I0ASga1RXxD2Jw081f+I5bAaCI4lMQvyzeMw+Mhuhx0Px6NUjlMlZBkubL0VAiQDYWNqoziMiei8nGydsaLUB3aO6Y9yBcYh7GocFTRfwa5cB4Egio3bk9hGERIdAc16DNJmG5kWbI9g3GJXyVOJ3YkRkNKwsrBDaOBT53PJh2K5hSEhKwJqWa+Bq56o6zaxxJJHRSUlLwZoLaxASHYLD8YeRyTYT+pTrg17leiGfWz7VeUREn0QIgR+q/ABPF090Wt8JlRdUxqY2m3g0iUIcSWQ0Hr96jPnH52PmkZm49ewWCrgVwIz6M9DBuwOcbZ1V5xERaUXbUm2RyzkXmoc3h+98X2xqswneObxVZ5klvr2HDN6lB5fQc2NPeEzzwKAdg1Awc0GsD1yPS70uoXf53hxIRGRyauariYOdDsLSwhJVFlbB1j+2qk4ySxxJZJCklNhxbQcarWiEorOLYv6J+WhZoiVOdj2JXe13oUmRJrC0sFSdSUSkMyWzlUR052gUcCuAhisaIux4mOoks8PbbWRQXr19heVnliMkOgTnEs8hm2M2jKo2Ct18uiG7U3bVeUREepU7U27s67gP/hp/dPm9C+KexmF09dF8Y4qecCSRQbiTdAdzjs7BvGPz8ODlA3yZ/UssaroIgSUD+ZOyicisZbLNhKhWUega1RVj943Fzac3Edo4lEcE6AFHEil1LOEYQmJCEH42HClpKWhSpAmCfYNRLW81fqdERPSOtaU1wpqEwcvVCyP3jMTtpNuIDIhEJttMqtNMGkcS6V1qWirWX1qPkOgQ7L+5H042TujxVQ/0LtcbBTIXUJ1HRGSQhBAYUW0E8rrkRZffu6DKwirY2HojPDJ5qE4zWRxJpDdPXz9F2IkwzDwyEzee3ICXqxem1p2KTqU7wcXORXUeEZFRaO/dHrmcc6HF6hb/OyKgVPZSqrNMEt/dRjp39dFV9N3cFx7TPDBg2wB4unhiTcAa/NH7D/Sr0I8DiYjoI9UpUAcHOh0AAFRZWAU7ru1QXGSaOJJIJ6SU2HNjD5qtaoZCMwthbuxcNC/aHLHfxWJvh71oXqw538JPRPQZSmUvhegu0cjrkhcNljfA4pOLVSeZHN5uI616k/IGK8+uREh0CE7dO4WsDlnxY9Uf0d2nO3I651SdR0RkUjwyeWB/x/1osboFOqzvgJtPb+LHqj/yjS9awpFEWnHv+T3Mi52HObFzcP/FfZTMVhLzG89H6y9aw97aXnUeEZHJcrFzwaY2m/Dd799hxJ4RiHsah7kN58La0lp1mtHjSKLPcuruKYTEhGDFmRVITk1Go8KNEFw+GDXz1eR3MkREemJjaYNFTRfBy8ULY/aNQfyzeGj8NfyxTZ+JI4k+WmpaKjZe2YiQ6BDsvrEbDtYO+K7Md+hTvg8KZymsOo+IyCwJITC6xmh4uniia1RXVF1UFRtbb0Qu51yq04wWRxJlWNKbJCw8uRAzYmbg6uOr8HTxxKQ6k9C5dGe42bupziMiIgCdy3SGRyYP+Gn84DvfF5vbbEaJbCVUZxklvruNPuj64+sYsHUAPKZ5oO+WvsjulB2r/Vbjap+rGFhxIAcSEZGBqVewHvZ12IeUtBRUWlAJu6/vVp1klDI8koQQlkKIE0KIKF0GkWGQUmJ/3J/vmCg4syBmHJmBhoUaIqZLDA52Ogj/Ev6wsuCFSCIiQ1U6Z2lEd4mGRyYP1FtWD8tPL1edZHQ+5t9yfQFcAMAfFGPCklOTsfrcaoREh+DYnWPIbJ8ZgysNRo+vevDoeyIiI+Pp4okDnQ6geXhztF3bFnFP4zC08lC+sSaDMjSShBAeABoC+BlAf50WkRIPXj7AvNh5mH10Nu4+v4uiWYtiXsN5aPdlOzhYO6jOIyKiT+Rq54otbbag84bOGLZrGOKexGF2w9m8G5ABGX2GQgAMAsD3Epqg3dd3o+GKhniV8gr1C9ZHcPlg1ClQBxaCL1kjIjIFtla2WNp8KfK65MW4A+MQnxSPcL9wONk4qU4zaB8cSUKIRgDuSymPCSGq/8fjggAEAYCnp6e2+kjHEpISEBgZiLyueREZEIni7sVVJxERkQ4IIfBzrZ+R1zUvemzsgWqLqmFj643I4ZRDdZrBysilgkoAmgghbgBYBaCmEGLZvx8kpQyVUvpIKX3c3d21nEm6kJKWglaRrfA8+TkHEhGRmQgqG4QNrTbg0oNL8J3viwuJF1QnGawPjiQp5VAppYeU0gtAIIBdUsq2Oi8jnRu+azj2xe3Dr41+5UAiIjIjXxf6Gns77MXrlNeouKAi9sXtU51kkPiiEzMVdTkKvxz8Bd+V+Q5tS3HzEhGZm7K5yiK6SzRyOOVAnaV1sOrsKtVJBuejRpKUco+UspGuYkg/bjy5gW/XfgvvHN6Y0WCG6hwiIlLEy9ULBzsdRPnc5dEqshUmHpwIKaXqLIPBK0lmJjk1GQGaAKTKVGj8NbCzslOdRERECmW2z4xt7bahZYmWGLxjMHpu6omUtBTVWQaBhySYmYHbBuJowlFEBkSiYOaCqnOIiMgA2FnZYUWLFcjrkhcTD01E/LN4rGyxEo42jqrTlOKVJDOiOafBzCMzEVw+GN8U+0Z1DhERGRALYYEJdSZgVoNZ2HhlI2osroF7z++pzlKKI8lMXH54GZ03dIavhy8m1JmgOoeIiAxUz3I9sbblWpy9fxYVwirg0oNLqpOU4UgyA6/evoK/xh/WltYI9wuHjaWN6iQiIjJgTYo0wZ4Oe/A8+TkqLqiIAzcPqE5SgiPJDPTe3Bun753GsubL4OnC09CJiOjDyuUuh+gu0cjqkBW1l9SG5pxGdZLecSSZuMUnFyPsRBiGVRmGBoUaqM4hIiIjkt8tPw51OoSyucoiICIAUw5NMasjAjiSTNiZe2fQfWN3VPeqjlHVR6nOISIiI5TFIQt2tNsBv+J+GLh9IPpu6YvUtFTVWXrBkWSikt4kwV/jDxc7F6xssRJWFjztgYiIPo29tT3C/cLR37c/Zh6ZCT+NH16+fak6S+c4kkyQlBJBUUG48ugKVrZYyZ/wTEREn81CWGBKvSmYXn861l9cj5qLayLxRaLqLJ3iSDJBc2PnYtXZVRhbYyyqe1VXnUNERCakT/k+iAyIxKl7p1AhrAKuPLyiOklnOJJMTGxCLPpt7YevC32NIZWHqM4hIiIT1LxYc+xuvxtP3zxFhbAKOHzrsOokneBIMiGPXz2Gv8Yf2R2zY0mzJbAQ/J+XiIh0w9fDF4c7H4abvRtqLqmJNRfWqE7SOv5b1ERIKdFhfQfcfnYbq/1XI4tDFtVJRERk4gpmLohDnQ7BO4c3/Fb7YXr0dNVJWsWRZCKmHJ6CDZc2YFKdSfD18FWdQ0REZsLd0R07v92JZkWbIXhrMPpt6Yc0maY6Sys4kkzAgZsHMGTHELQo1gJ9yvdRnUNERGbGwdoBGn8N+pTrg5CYEARoAvDq7SvVWZ+Nh+cYufsv7qNlREvkc8uHsCZhEEKoTiIiIjNkaWGJ6Q2mw8vVCwO2DcCd53ewPnA9sjpkVZ32yXglyYilpqWizZo2ePjyITT+GrjYuahOIiIiM9evQj+s9l+NYwnHUDGsIq4+uqo66ZNxJBmxn/b9hB3XdmBmg5nwzuGtOoeIiAgA4FfcDzu/3YmHrx6iQlgFxMTHqE76JBxJRmr71e0YvXc02pVqhy5luqjOISIi+odKnpVwuPNhONs6o8biGlh/cb3qpI/GkWSEbj+7jTZr2qCYezHMbTiXr0MiIiKDVDhLYRzufBgls5VE8/DmmHVkluqkj8KRZGTepr5FYGQgXr59iQj/CDjaOKpOIiIieq9sjtmwu/1uNC7SGL0398b32743miMCOJKMzLBdw3Dg5gGENg5FMfdiqnOIiIg+yNHGEWsC1qDnVz0x+fBktIpshdcpr1VnfRCPADAiGy5twKRDk9CtbDe0/qK16hwiIqIMs7SwxMwGM+Hl6oXvt3+PhKQErA9cj8z2mVWnvRevJBmJ64+vo/269iiTswym1Z+mOoeIiOijCSEwsOJArGqxCkduH0HFsIq4/vi66qz34kgyAm9S3iAgIgBSSmj8NbCzslOdRERE9MlalmyJHe124P6L+/AN80VsQqzqpHRxJBmBAdsGIDYhFouaLUJ+t/yqc4iIiD5blbxVcLDTQThYO6DaomqIuhylOun/4EgycOFnwzH76Gz09+2PZkWbqc4hIiLSmmLuxXC482EUy1oMTVc1xbzYeaqT/uGDI0kIYSeEOCKEOCWEOCeEGK2PMAIuPbiELr93QcU8FfFL7V9U5xAREWldDqcc2NNhDxoUbIDuG7tjyI4hBnNEQEauJL0BUFNK+SUAbwD1hRC+Oq0ivHz7En4aP9ha2iLcLxzWltaqk4iIiHTCycYJ6wLXoWvZrphwcALarmmLNylvVGd9+AgAKaUE8PzdL63f/SV1GUVAz009ce7+OWxusxkemTxU5xAREemUlYUV5jacCy9XLwzdORQJSQlY23It3OzdlDVl6DVJQghLIcRJAPcBbJdSGudPqjMSC08sxKKTi/Bj1R9Rr2A91TlERER6IYTAkMpDsPyb5Th06xAqLaiEhy8fKuvJ0GGSUspUAN5CCFcAa4UQJaWUZ//+GCFEEIAgAPD09NR2p9k4fe80emzqgZr5amJktZGqc4iIiPSu9Retkcs5FyLORyg9bFL8eTftI36DECMAvJRSTn7fY3x8fGRsrGGeeWDInr15Bp9QHzxPfo4TXU8gu1N21UlEREQmTwhxTErp8++PZ+Tdbe7vriBBCGEPoA6Ai1ovNHNSSnTZ0AVXH1/FKr9VHEhERESKZeR2W04Ai4UQlvhzVK2WUhreiU9GbvbR2dCc12B8rfGomreq6hwiIiKzl5F3t50GUFoPLWbryO0j6L+1PxoVboRBlQapziEiIiLwxG3lHr16hABNAHI658TiZothIfg/CRERkSHI0LvbSDfSZBrar2uPhKQEHOh0QOkr+ImIiOifOJIUmnRwEqIuR2FG/Rkol7uc6hwiIiL6G97bUWRf3D4M2zUM/sX90atcL9U5RERE9C8cSQrce34PgRGByO+WH/ObzIcQQnUSERER/Qtvt+lZaloqWq9pjcevH2NL2y3IZJtJdRIRERGlgyNJz8bsHYNd13chrEkYSmUvpTqHiIiI3oO32/Ro29VtGLtvLNp/2R4dvTuqziEiIqL/wJGkJ/HP4tFmTRuUyFYCcxrO4euQiIiIDBxHkh68TX2LlhEt8TrlNSL8I+Bg7aA6iYiIiD6Ar0nSg6E7h+LQrUNY2WIlimQtojqHiIiIMoBXknRs3cV1mHJ4Cnr49EBgyUDVOURERJRBHEk6dO3xNXRY1wFlc5bF1HpTVecQERHRR+BI0pHXKa/hr/GHEAIafw1srWxVJxEREdFH4GuSdKT/1v44fuc41geuRz63fKpziIiI6CPxSpIOrDizAnNj52JghYFoUqSJ6hwiIiL6BBxJWnYh8QKCfg9CZc/KGFdrnOocIiIi+kQcSVr0IvkF/DX+sLe2x6oWq2Btaa06iYiIiD4RX5OkJVJK9NjUA+cTz2Nr263InSm36iQiIiL6DLySpCVhJ8Kw5NQSjKg2AnUK1FGdQ0RERJ+JI0kLTt49iV6beqF2/toYXnW46hwiIiLSAo6kz/T09VP4a/yRxSELln+zHJYWlqqTiIiISAv4mqTPIKVE5w2dcf3xdezpsAfZHLOpTiIiIiIt4Uj6DDOPzETkhUhMrD0RlT0rq84hIiIiLeLttk8UEx+DgdsGonHhxhhQcYDqHCIiItIyjqRP8PDlQ/hr/JE7U24sbrYYFoJPIxERkanh7baPlCbT8O26b3HvxT0c7HQQbvZuqpOIiIhIBziSPtKEAxOw6comzGowCz65fFTnEBERkY588D6RECKPEGK3EOK8EOKcEKKvPsIM0Z4be/Dj7h8RWDIQPb7qoTqHiIiIdCgjV5JSAAyQUh4XQjgDOCaE2C6lPK/jNoNy9/ldtIpshYKZCyK0USiEEKqTiIiISIc+OJKklHcA3Hn390lCiAsAcgMwm5GUmpaK1pGt8fT1U2xruw3Ots6qk4iIiEjHPuo1SUIILwClAcTopMZAjdwzErtv7MbCpgvxRfYvVOcQERGRHmT4vetCCCcAkQCCpZTP0vnvg4QQsUKI2MTERG02KrX5ymb8vP9ndPLuhA7eHVTnEBERkZ4IKeWHHySENYAoAFullFM/9HgfHx8ZGxurhTy1bj29hdK/lkYu51yI7hINB2sH1UlERESkZUKIY1LK//OW9Yy8u00ACANwISMDyVQkpyYjICIAb1LfICIgggOJiIjIzGTkdlslAO0A1BRCnHz319c67lJuyI4hiI6PRliTMBTOUlh1DhEREelZRt7ddgCAWb3ffc2FNZgWPQ29vuqFgBIBqnOIiIhIAf7QsX+5+ugqOq7viK9yfYXJdSerziEiIiJFOJL+5nXKa/hr/GEpLLHafzVsrWxVJxEREZEi/Nltf9N3c1+cuHsCv7f6HV6uXqpziIiISCFeSXpn2ellCD0eisGVBqNR4Uaqc4iIiEgxjiQA5xPPo2tUV1TxrIKfav6kOoeIiIgMgNmPpOfJz+G32g9ONk5Y5bcKVha8A0lERERm/pokKSW6RXXDxQcXsb3dduRyzqU6iYiIiAyEWY+k347/huVnlmN09dGolb+W6hwiIiIyIGZ7u+34nePos7kP6haoix+r/qg6h4iIiAyMWY6kp6+fwl/jj6wOWbGs+TJYCLN8GoiIiOg/mN3tNiklOq7viLgncdjbYS/cHd1VJxEREZEBMruRFBIdgrUX12Jyncmo5FlJdQ4REREZKLO6z3T41mEM2jEITYs0Rf8K/VXnEBERkQEzm5H04OUDBEQEIE+mPFjUbBGEEKqTiIiIyICZxe22NJmGtmva4v6L+zjU6RBc7VxVJxEREZGBM4uRNH7/eGy9uhVzvp6DsrnKqs4hIiIiI2Dyt9t2X9+NEXtGoFXJVujm0011DhERERkJkx5Jd5LuoFVkKxTOUhihjUP5OiQiIiLKMJO93ZaSloJWka3w7M0z7Ph2B5xsnFQnERERkREx2ZE0YvcI7I3bi8XNFqNktpKqc4iIiMjImOTtto2XN2L8gfHoUroLvv3yW9U5REREZIRMbiTFPYlDu7Xt8GX2LzGjwQzVOURERGSkTGokJacmo2VES6SkpUDjr4G9tb3qJCIiIjJSJvWapEHbByHmdgw0/hoUylJIdQ4REREZMZO5khRxPgLTY6ajT7k+8CvupzqHiIiIjJxJjKQrD6+g0/pOKJ+7PCbVnaQ6h4iIiEyA0Y+kV29fwV/jD2tLa6z2Xw0bSxvVSURERGQCjP41SX0298Gpe6cQ1SoKni6eqnOIiIjIRBj1laQlp5Zg/on5GFp5KBoWbqg6h4iIiEzIB0eSEGKBEOK+EOKsPoIy6uz9s+gW1Q3V8lbDmBpjVOcQERGRicnIlaRFAOrruOOjPE9+Dn+NPzLZZsLKFithZWH0dw2JiIjIwHxwXUgp9wkhvPTQkiFSSgT9HoTLDy9jR7sdyOmcU3USERERmSCtvSZJCBEkhIgVQsQmJiZq69P+H6kyFa52rhhTfQxq5Kuhsz+HiIiIzJuQUn74QX9eSYqSUpbMyCf18fGRsbGxn5n236SUEELo9M8gIiIi0yeEOCal9Pn3x4323W0cSERERKRLRjuSiIiIiHQpI0cArARwGEARIUS8EKKz7rOIiIiI1MrIu9ta6SOEiIiIyJDwdhsRERFROjiSiIiIiNLBkURERESUDo4kIiIionRwJBERERGlgyOJiIiIKB0cSURERETp4EgiIiIiSgdHEhEREVE6hJRS+59UiEQAcVr/xP+UFcADHf8Z5oTPp/bxOdU+PqfaxedT+/icape+ns+8Ukr3f39QJyNJH4QQsVJKH9UdpoLPp/bxOdU+PqfaxedT+/icapfq55O324iIiIjSwZFERERElA5jHkmhqgNMDJ9P7eNzqn18TrWLz6f28TnVLqXPp9G+JomIiIhIl4z5ShIRERGRzhjdSBJC1BdCXBJC/CGEGKK6x9gJIRYIIe4LIc6qbjEVQog8QojdQojzQohzQoi+qpuMmRDCTghxRAhx6t3zOVp1kykQQlgKIU4IIaJUt5gCIcQNIcQZIcRJIUSs6h5TIIRwFUJECCEuCiEuCCEq6L3BmG63CSEsAVwGUAdAPICjAFpJKc8rDTNiQoiqAJ4DWCKlLKm6xxQIIXICyCmlPC6EcAZwDEAz/v/00wghBABHKeVzIYQ1gAMA+kopoxWnGTUhRH8APgAySSkbqe4xdkKIGwB8pJQ8I0lLhBCLAeyXUs4XQtgAcJBSPtFng7FdSSoH4A8p5TUpZTKAVQCaKm4yalLKfQAeqe4wJVLKO1LK4+/+PgnABQC51VYZL/mn5+9+af3uL+P57s4ACSE8ADQEMF91C1F6hBAuAKoCCAMAKWWyvgcSYHwjKTeAW3/7dTz4Lx8yYEIILwClAcQoTjFq724NnQRwH8B2KSWfz88TAmAQgDTFHaZEAtgmhDgmhAhSHWMC8gFIBLDw3W3h+UIIR31HGNtIIjIaQggnAJEAgqWUz1T3GDMpZaqU0huAB4ByQgjeGv5EQohGAO5LKY+pbjExlaWUZQA0ANDz3UsZ6NNZASgDYK6UsjSAFwD0/jpkYxtJtwHk+duvPd59jMigvHvtTCSA5VLKNap7TMW7y+27AdRXnGLMKgFo8u41NKsA1BRCLFObZPyklLff/ed9AGvx58tD6NPFA4j/21XjCPw5mvTK2EbSUQCFhBD53r2IKxDABsVNRP/w7oXGYQAuSCmnqu4xdkIIdyGE67u/t8efb9y4qDTKiEkph0opPaSUXvjza+guKWVbxVlGTQjh+O5NGnh3S6guAL5j+DNIKe8CuCWEKPLuQ7UA6P3NL1b6/gM/h5QyRQjRC8BWAJYAFkgpzynOMmpCiJUAqgPIKoSIBzBSShmmtsroVQLQDsCZd6+jAYAfpJSb1CUZtZwAFr97d6sFgNVSSr5tnQxJdgBr//z+CFYAVkgpt6hNMgm9ASx/d1HkGoCO+g4wqiMAiIiIiPTF2G63EREREekFRxIRERFROjiSiIiIiNLBkURERESUDo4kIiIionRwJBERERGlgyOJiIiIKB0cSURERETp+H8gZ8Nt41WEWQAAAABJRU5ErkJggg==\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = [0, 1, 2, 3, 4, 5, 6] \n", + "y = [1, 4, 5, 8, 9, 5, 3]\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "a6d94984", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green', linestyle='dashed', marker='o',\n", + " markerfacecolor = 'blue')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "ff9d8887", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green', linestyle='dashed', marker='o',\n", + " markerfacecolor = 'blue', markersize=12)\n", + "\n", + "plt.xlim([-0.5, 6.5])\n", + "plt.ylim([0.5, 9.5])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "5f65574d", + "metadata": {}, + "outputs": [], + "source": [ + "t = np.array([0,1,2,3,4,5,6,7,8,9])\n", + "y = np.array([9,8,7,9,8,3,2,4,3,4])" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "ed016dc0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "colormap = t\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.scatter(t,y, s = 50, c = colormap, marker='>')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "138dc1e1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "colormap = t\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.scatter(t,y, s = 50, c = colormap, marker='>')\n", + "plt.colorbar()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "05091601", + "metadata": {}, + "outputs": [], + "source": [ + "s1 = np.random.normal(loc=0, scale=1, size=1000)\n", + "s2 = np.random.normal(loc=5, scale=0.5, size=1000)\n", + "s3 = np.random.normal(loc=10, scale=2, size=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "e9b0d2e5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(s1, label='s1')\n", + "plt.plot(s2, label='s2')\n", + "plt.plot(s3, label='s3')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "23e776e8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.boxplot((s1, s2, s3))\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "2c6fde93", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거
0중부서113411376943495997830
1종로서964411593602284964792
2남대문서11227352699368579494
3서대문서3321159149107752412921029
4혜화서00337753581310747628
\n", + "
" + ], + "text/plain": [ + " 관서명 살인 발생 살인 검거 강도 발생 강도 검거 강간 발생 강간 검거 절도 발생 절도 검거 폭력 발생 폭력 검거\n", + "0 중부서 1 1 3 4 113 76 943 495 997 830\n", + "1 종로서 9 6 4 4 115 93 602 284 964 792\n", + "2 남대문서 1 1 2 2 73 52 699 368 579 494\n", + "3 서대문서 3 3 2 1 159 149 1077 524 1292 1029\n", + "4 혜화서 0 0 3 3 77 53 581 310 747 628" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal_police = pd.read_csv('../data/02. crime_in_Seoul.csv', thousands=',', encoding='euc-kr')\n", + "crime_anal_police.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "989a8260", + "metadata": {}, + "outputs": [], + "source": [ + "import googlemaps" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3a5f7b0a", + "metadata": {}, + "outputs": [], + "source": [ + "gmaps_key = \"AIzaSyCs5Zm8WztEp3Dz3cRKLV1iX-cFq14datM\"\n", + "gmaps = googlemaps.Client(key=gmaps_key)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f45f323f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'address_components': [{'long_name': '２７',\n", + " 'short_name': '２７',\n", + " 'types': ['premise']},\n", + " {'long_name': '수표로',\n", + " 'short_name': '수표로',\n", + " 'types': ['political', 'sublocality', 'sublocality_level_4']},\n", + " {'long_name': '중구',\n", + " 'short_name': '중구',\n", + " 'types': ['political', 'sublocality', 'sublocality_level_1']},\n", + " {'long_name': '서울특별시',\n", + " 'short_name': '서울특별시',\n", + " 'types': ['administrative_area_level_1', 'political']},\n", + " {'long_name': '대한민국',\n", + " 'short_name': 'KR',\n", + " 'types': ['country', 'political']},\n", + " {'long_name': '100-032',\n", + " 'short_name': '100-032',\n", + " 'types': ['postal_code']}],\n", + " 'formatted_address': '대한민국 서울특별시 중구 수표로 27',\n", + " 'geometry': {'location': {'lat': 37.56361709999999, 'lng': 126.9896517},\n", + " 'location_type': 'ROOFTOP',\n", + " 'viewport': {'northeast': {'lat': 37.5649660802915,\n", + " 'lng': 126.9910006802915},\n", + " 'southwest': {'lat': 37.5622681197085, 'lng': 126.9883027197085}}},\n", + " 'partial_match': True,\n", + " 'place_id': 'ChIJc-9q5uSifDURLhQmr5wkXmc',\n", + " 'plus_code': {'compound_code': 'HX7Q+CV 대한민국 서울특별시',\n", + " 'global_code': '8Q98HX7Q+CV'},\n", + " 'types': ['establishment', 'point_of_interest', 'police']}]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gmaps.geocode('서울중부경찰서', language='ko')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "5a9a8aca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['서울중부경찰서',\n", + " '서울종로경찰서',\n", + " '서울남대문경찰서',\n", + " '서울서대문경찰서',\n", + " '서울혜화경찰서',\n", + " '서울용산경찰서',\n", + " '서울성북경찰서',\n", + " '서울동대문경찰서',\n", + " '서울마포경찰서',\n", + " '서울영등포경찰서',\n", + " '서울성동경찰서',\n", + " '서울동작경찰서',\n", + " '서울광진경찰서',\n", + " '서울서부경찰서',\n", + " '서울강북경찰서',\n", + " '서울금천경찰서',\n", + " '서울중랑경찰서',\n", + " '서울강남경찰서',\n", + " '서울관악경찰서',\n", + " '서울강서경찰서',\n", + " '서울강동경찰서',\n", + " '서울종암경찰서',\n", + " '서울구로경찰서',\n", + " '서울서초경찰서',\n", + " '서울양천경찰서',\n", + " '서울송파경찰서',\n", + " '서울노원경찰서',\n", + " '서울방배경찰서',\n", + " '서울은평경찰서',\n", + " '서울도봉경찰서',\n", + " '서울수서경찰서']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "station_name = []\n", + "\n", + "for name in crime_anal_police['관서명']:\n", + " station_name.append('서울' + str(name[:-1]) + '경찰서')\n", + "\n", + "station_name" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2cde0d8d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f1924ed9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f4d0b2fc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + 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0기간자치구세대합계합계합계한국인한국인한국인등록외국인등록외국인등록외국인세대당인구65세이상고령자
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" + ], + "text/plain": [ + " 구별 인구수 한국인 외국인 고령자\n", + "0 합계 9736027 9509458 226569 1605416\n", + "1 종로구 153789 144683 9106 27818\n", + "2 중구 131787 122499 9288 24392\n", + "3 용산구 237285 222953 14332 39070\n", + "4 성동구 292672 285990 6682 46380" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul.rename(columns={pop_Seoul.columns[0] : '구별', \n", + " pop_Seoul.columns[1] : '인구수', \n", + " pop_Seoul.columns[2] : '한국인', \n", + " pop_Seoul.columns[3] : '외국인', \n", + " pop_Seoul.columns[4] : '고령자'}, inplace=True)\n", + "# 대신에 pop_Seoul.columns = ['구별', '인구수', '한국인', '외국인', '고령자'] 로 표현할 수 있음.\n", + "# inplace=True : 영구적으로 바꿔버리는것.\n", + "pop_Seoul.head()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "8d03dc79", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "b00a2ee4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 1.0\n", + "1 3.0\n", + "2 5.0\n", + "3 NaN\n", + "4 6.0\n", + "5 8.0\n", + "dtype: float64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = pd.Series([1,3,5,np.nan,6,8])\n", + "s" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "bd921d05", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['2022-02-17', '2022-02-18', '2022-02-19', '2022-02-20',\n", + " '2022-02-21', '2022-02-22'],\n", + " dtype='datetime64[ns]', freq='D')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dates = pd.date_range('20220217', periods=6)\n", + "dates" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "594304d2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ABCD
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ABCD
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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년Unnamed: 13
0계770327667220034914439658281299947987611961111321608NaN
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3용산구238334712341252212983511253076170NaN
4성동구360244812521210533931087439026246176NaN
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0계770327667220034914439658281299947987611961111321608
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21관악구494242820529151352962168766364033134
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8성북구39588378170230323594460867714251188
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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년최근증가율
9강북구24620024651052436392100058839194.850299
7중랑구3296302242538814116116217310499394152.760736
24송파구285472618685215148241542106823510196.827586
10도봉구16293922961817915913422219816833174.785408
12은평구379114344332329555403635105728813163.758099
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" + ], + "text/plain": [ + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "9 강북구 2462 0 0 24 65 105 243 6 392 \n", + "7 중랑구 3296 302 24 253 88 141 161 162 173 \n", + "24 송파구 2854 72 61 86 85 215 148 241 542 \n", + "10 도봉구 1629 39 22 96 181 79 159 134 222 \n", + "12 은평구 3791 14 3 44 332 329 555 403 635 \n", + "\n", + " 2019년 2020년 2021년 최근증가율 \n", + "9 1000 588 39 194.850299 \n", + "7 1049 939 4 152.760736 \n", + "24 1068 235 101 96.827586 \n", + "10 198 168 331 74.785408 \n", + "12 1057 288 131 63.758099 " + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CCTV_Seoul['최근증가율'] = (CCTV_Seoul['2021년'] + CCTV_Seoul['2020년'] + CCTV_Seoul['2019년']) / (CCTV_Seoul['2018년'] + CCTV_Seoul['2017년'] + CCTV_Seoul['2016년'] + CCTV_Seoul['2015년'] + CCTV_Seoul['2014년'] + CCTV_Seoul['2013년'] + CCTV_Seoul['2012년'] + CCTV_Seoul['2012년 이전']) * 100\n", + "CCTV_Seoul.sort_values(by='최근증가율', ascending=False).head(5)\n", + "# 2019~21년을 더하고 그 이전으로 나눔" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "fd2fd72a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별인구수한국인외국인고령자
0합계973602795094582265691605416
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
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" + ], + "text/plain": [ + " 구별 인구수 한국인 외국인 고령자\n", + "0 합계 9736027 9509458 226569 1605416\n", + "1 종로구 153789 144683 9106 27818\n", + "2 중구 131787 122499 9288 24392\n", + "3 용산구 237285 222953 14332 39070\n", + "4 성동구 292672 285990 6682 46380" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "86c18153", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별인구수한국인외국인고령자
1종로구153789144683910627818
2중구131787122499928824392
3용산구2372852229531433239070
4성동구292672285990668246380
5광진구3526273399961263151723
\n", + "
" + ], + "text/plain": [ + " 구별 인구수 한국인 외국인 고령자\n", + "1 종로구 153789 144683 9106 27818\n", + "2 중구 131787 122499 9288 24392\n", + "3 용산구 237285 222953 14332 39070\n", + "4 성동구 292672 285990 6682 46380\n", + "5 광진구 352627 339996 12631 51723" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul.drop([0], inplace=True)\n", + "pop_Seoul.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "7ab7a4d4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['종로구', '중구', '용산구', '성동구', '광진구', '동대문구', '중랑구', '성북구', '강북구',\n", + " '도봉구', '노원구', '은평구', '서대문구', '마포구', '양천구', '강서구', '구로구', '금천구',\n", + " '영등포구', '동작구', '관악구', '서초구', '강남구', '송파구', '강동구'], dtype=object)" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul['구별'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "0724b0ed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별인구수한국인외국인고령자
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [구별, 인구수, 한국인, 외국인, 고령자]\n", + "Index: []" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul[pop_Seoul['구별'].isnull()]" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "5db17c2d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "numpy.int64" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(pop_Seoul['한국인'][3])\n", + "# 얘는 int네.." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "3af0b9db", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별인구수한국인외국인고령자외국인비율고령자비율
1종로구1537891446839106278185.92110018.088420
2중구1317871224999288243927.04773618.508654
3용산구23728522295314332390706.03999416.465432
4성동구2926722859906682463802.28310215.847092
5광진구35262733999612631517233.58197214.667907
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" + ], + "text/plain": [ + " 구별 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "1 종로구 153789 144683 9106 27818 5.921100 18.088420\n", + "2 중구 131787 122499 9288 24392 7.047736 18.508654\n", + "3 용산구 237285 222953 14332 39070 6.039994 16.465432\n", + "4 성동구 292672 285990 6682 46380 2.283102 15.847092\n", + "5 광진구 352627 339996 12631 51723 3.581972 14.667907" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul['외국인비율'] = pop_Seoul['외국인'] / pop_Seoul['인구수'] * 100\n", + "pop_Seoul['고령자비율'] = pop_Seoul['고령자'] / pop_Seoul['인구수'] * 100\n", + "pop_Seoul.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "3a9f6e94", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별인구수한국인외국인고령자외국인비율고령자비율
24송파구6639656583385627976910.84748414.713276
16강서구5797685743155453925580.94054915.964662
23강남구5378005330424758782260.88471614.545556
11노원구5149465109563990883450.77483917.156168
21관악구49944948569913750798712.75303415.991823
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구별인구수한국인외국인고령자외국인비율고령자비율
17구로구42116339675424409726115.79561817.240593
19영등포구40090837683724071625166.00412115.593603
6동대문구35200633740014606622114.14936117.673278
3용산구23728522295314332390706.03999416.465432
18금천구24489123081114080410415.74949716.758885
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구별인구수한국인외국인고령자외국인비율고령자비율
2중구1317871224999288243927.04773618.508654
3용산구23728522295314332390706.03999416.465432
19영등포구40090837683724071625166.00412115.593603
1종로구1537891446839106278185.92110018.088420
17구로구42116339675424409726115.79561817.240593
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구별인구수한국인외국인고령자외국인비율고령자비율
24송파구6639656583385627976910.84748414.713276
16강서구5797685743155453925580.94054915.964662
11노원구5149465109563990883450.77483917.156168
12은평구4771734733073866872410.81018818.282887
21관악구49944948569913750798712.75303415.991823
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구별인구수한국인외국인고령자외국인비율고령자비율
9강북구3025632991823381643331.11745321.262679
10도봉구3193733173662007641600.62841920.089363
2중구1317871224999288243927.04773618.508654
7중랑구3918853873504535716821.15722718.291591
12은평구4771734733073866872410.81018818.282887
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" + ], + "text/plain": [ + " 구별 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "9 강북구 302563 299182 3381 64333 1.117453 21.262679\n", + "10 도봉구 319373 317366 2007 64160 0.628419 20.089363\n", + "2 중구 131787 122499 9288 24392 7.047736 18.508654\n", + "7 중랑구 391885 387350 4535 71682 1.157227 18.291591\n", + "12 은평구 477173 473307 3866 87241 0.810188 18.282887" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pop_Seoul.sort_values(by='고령자비율', ascending=False).head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "50a3f101", + "metadata": {}, + "outputs": [], + "source": [ + "df1 = pd.DataFrame({'A': ['A0', 'A1', 'A2', 'A3'], \n", + " 'B': ['B0', 'B1', 'B2', 'B3'],\n", + " 'C': ['C0', 'C1', 'C2', 'C3'],\n", + " 'D': ['D0', 'D1', 'D2', 'D3']},\n", + " index=[0, 1, 2, 3])\n", + "\n", + "df2 = pd.DataFrame({'A': ['A4', 'A5', 'A6', 'A7'],\n", + " 'B': ['B4', 'B5', 'B6', 'B7'],\n", + " 'C': ['C4', 'C5', 'C6', 'C7'],\n", + " 'D': ['D4', 'D5', 'D6', 'D7']},\n", + " index=[4, 5, 6, 7])\n", + "\n", + "df3 = pd.DataFrame({'A': ['A8', 'A9', 'A10', 'A11'],\n", + " 'B': ['B8', 'B9', 'B10', 'B11'],\n", + " 'C': ['C8', 'C9', 'C10', 'C11'],\n", + " 'D': ['D8', 'D9', 'D10', 'D11']},\n", + " index=[8, 9, 10, 11])" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "e725898c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ABCD
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2A2B2C2D2
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ABCD
0A0B0C0D0
1A1B1C1D1
2A2B2C2D2
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4A4B4C4D4
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ABCD
x0A0B0C0D0
1A1B1C1D1
2A2B2C2D2
3A3B3C3D3
y4A4B4C4D4
5A5B5C5D5
6A6B6C6D6
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z8A8B8C8D8
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10A10B10C10D10
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ABCD
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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년최근증가율인구수한국인외국인고령자외국인비율고령자비율
0종로구17728130021015012618592004316.5789471537891446839106278185.92110018.088420
1용산구23833471234125221298351125307617063.33104923728522295314332390706.03999416.465432
2성동구36024481252121053393108743902624617628.5051732926722859906682463802.28310215.847092
3광진구2588355710018798526754657121753255.06291235262733999612631517233.58197214.667907
4동대문구2497109014660291112331361972092236324.72527535200633740014606622114.14936117.673278
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" + ], + "text/plain": [ + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 종로구 1772 813 0 0 210 150 1 261 85 \n", + "1 용산구 2383 34 71 234 125 221 298 351 125 \n", + "2 성동구 3602 448 125 212 105 339 310 874 390 \n", + "3 광진구 2588 35 57 100 187 98 52 675 465 \n", + "4 동대문구 2497 1090 146 60 29 111 233 136 197 \n", + "\n", + " 2019년 2020년 2021년 최근증가율 인구수 한국인 외국인 고령자 외국인비율 \\\n", + "0 9 200 43 16.578947 153789 144683 9106 27818 5.921100 \n", + "1 307 617 0 63.331049 237285 222953 14332 39070 6.039994 \n", + "2 262 461 76 28.505173 292672 285990 6682 46380 2.283102 \n", + "3 712 175 32 55.062912 352627 339996 12631 51723 3.581972 \n", + "4 209 223 63 24.725275 352006 337400 14606 62211 4.149361 \n", + "\n", + " 고령자비율 \n", + "0 18.088420 \n", + "1 16.465432 \n", + "2 15.847092 \n", + "3 14.667907 \n", + "4 17.673278 " + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result = pd.merge(CCTV_Seoul, pop_Seoul, on='구별')\n", + "data_result.head() # 새 원본 데이터를 깔아야... 근데 최신데이터로 보고싶은걸" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "85f9eaa1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년최근증가율인구수한국인외국인고령자외국인비율고령자비율
0종로구17728130021015012618592004316.5789471537891446839106278185.92110018.088420
1용산구23833471234125221298351125307617063.33104923728522295314332390706.03999416.465432
2성동구36024481252121053393108743902624617628.5051732926722859906682463802.28310215.847092
3광진구2588355710018798526754657121753255.06291235262733999612631517233.58197214.667907
4동대문구2497109014660291112331361972092236324.72527535200633740014606622114.14936117.673278
\n", + "
" + ], + "text/plain": [ + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 종로구 1772 813 0 0 210 150 1 261 85 \n", + "1 용산구 2383 34 71 234 125 221 298 351 125 \n", + "2 성동구 3602 448 125 212 105 339 310 874 390 \n", + "3 광진구 2588 35 57 100 187 98 52 675 465 \n", + "4 동대문구 2497 1090 146 60 29 111 233 136 197 \n", + "\n", + " 2019년 2020년 2021년 최근증가율 인구수 한국인 외국인 고령자 외국인비율 \\\n", + "0 9 200 43 16.578947 153789 144683 9106 27818 5.921100 \n", + "1 307 617 0 63.331049 237285 222953 14332 39070 6.039994 \n", + "2 262 461 76 28.505173 292672 285990 6682 46380 2.283102 \n", + "3 712 175 32 55.062912 352627 339996 12631 51723 3.581972 \n", + "4 209 223 63 24.725275 352006 337400 14606 62211 4.149361 \n", + "\n", + " 고령자비율 \n", + "0 18.088420 \n", + "1 16.465432 \n", + "2 15.847092 \n", + "3 14.667907 \n", + "4 17.673278 " + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.drop(['2012년 이전'], axis = 1)\n", + "data_result.drop(['2012년'], axis = 1)\n", + "data_result.drop(['2013년'], axis = 1)\n", + "data_result.drop(['2014년'], axis = 1)\n", + "data_result.drop(['2015년'], axis = 1)\n", + "data_result.drop(['2016년'], axis = 1)\n", + "data_result.drop(['2017년'], axis = 1)\n", + "data_result.drop(['2018년'], axis = 1)\n", + "data_result.drop(['2019년'], axis = 1)\n", + "data_result.drop(['2020년'], axis = 1)\n", + "data_result.drop(['2021년'], axis = 1)\n", + "data_result.head()\n", + "# 왜안되지" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "9886a987", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
0종로구177216.5789471537891446839106278185.92110018.088420
1용산구238363.33104923728522295314332390706.03999416.465432
2성동구360228.5051732926722859906682463802.28310215.847092
3광진구258855.06291235262733999612631517233.58197214.667907
4동대문구249724.72527535200633740014606622114.14936117.673278
\n", + "
" + ], + "text/plain": [ + " 구별 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "0 종로구 1772 16.578947 153789 144683 9106 27818 5.921100 18.088420\n", + "1 용산구 2383 63.331049 237285 222953 14332 39070 6.039994 16.465432\n", + "2 성동구 3602 28.505173 292672 285990 6682 46380 2.283102 15.847092\n", + "3 광진구 2588 55.062912 352627 339996 12631 51723 3.581972 14.667907\n", + "4 동대문구 2497 24.725275 352006 337400 14606 62211 4.149361 17.673278" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "del data_result['2012년 이전']\n", + "del data_result['2012년']\n", + "del data_result['2013년']\n", + "del data_result['2014년']\n", + "del data_result['2015년']\n", + "del data_result['2016년']\n", + "del data_result['2017년']\n", + "del data_result['2018년']\n", + "del data_result['2019년']\n", + "del data_result['2020년']\n", + "del data_result['2021년']\n", + "\n", + "data_result.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "d0fc752f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
구별
종로구177216.5789471537891446839106278185.92110018.088420
용산구238363.33104923728522295314332390706.03999416.465432
성동구360228.5051732926722859906682463802.28310215.847092
광진구258855.06291235262733999612631517233.58197214.667907
동대문구249724.72527535200633740014606622114.14936117.673278
\n", + "
" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "구별 \n", + "종로구 1772 16.578947 153789 144683 9106 27818 5.921100 18.088420\n", + "용산구 2383 63.331049 237285 222953 14332 39070 6.039994 16.465432\n", + "성동구 3602 28.505173 292672 285990 6682 46380 2.283102 15.847092\n", + "광진구 2588 55.062912 352627 339996 12631 51723 3.581972 14.667907\n", + "동대문구 2497 24.725275 352006 337400 14606 62211 4.149361 17.673278" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.set_index('구별', inplace=True)\n", + "data_result.head()\n", + "# 왜 떠있지" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "5132c3d4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1. , -0.37376628],\n", + " [-0.37376628, 1. ]])" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.corrcoef(data_result['고령자비율'],data_result['총계'])" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "f974bf3b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1. , -0.13359732],\n", + " [-0.13359732, 1. ]])" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.corrcoef(data_result['외국인비율'],data_result['총계'])" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "ac2d8956", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1. , 0.44295137],\n", + " [0.44295137, 1. ]])" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.corrcoef(data_result['인구수'],data_result['총계'])" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "bc1a6f79", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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인구수총계
인구수1.0000000.442951
총계0.4429511.000000
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" + ], + "text/plain": [ + " 인구수 총계\n", + "인구수 1.000000 0.442951\n", + "총계 0.442951 1.000000" + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result[['인구수', '총계']].corr()\n", + "# 이게 낫네 확실히" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "5b6d0307", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
구별
강남구650236.3102735378005330424758782260.88471614.545556
관악구494225.52705149944948569913750798712.75303415.991823
구로구407526.31742142116339675424409726115.79561817.240593
성북구395841.1051694401424305289614747092.18429516.973840
은평구379163.7580994771734733073866872410.81018818.282887
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" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "구별 \n", + "강남구 6502 36.310273 537800 533042 4758 78226 0.884716 14.545556\n", + "관악구 4942 25.527051 499449 485699 13750 79871 2.753034 15.991823\n", + "구로구 4075 26.317421 421163 396754 24409 72611 5.795618 17.240593\n", + "성북구 3958 41.105169 440142 430528 9614 74709 2.184295 16.973840\n", + "은평구 3791 63.758099 477173 473307 3866 87241 0.810188 18.282887" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.sort_values(by='총계', ascending=False).head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "e51b2b6c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
구별
송파구285496.8275866639656583385627976910.84748414.713276
강서구256057.6354685797685743155453925580.94054915.964662
강남구650236.3102735378005330424758782260.88471614.545556
노원구241550.4672905149465109563990883450.77483917.156168
관악구494225.52705149944948569913750798712.75303415.991823
\n", + "
" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "구별 \n", + "송파구 2854 96.827586 663965 658338 5627 97691 0.847484 14.713276\n", + "강서구 2560 57.635468 579768 574315 5453 92558 0.940549 15.964662\n", + "강남구 6502 36.310273 537800 533042 4758 78226 0.884716 14.545556\n", + "노원구 2415 50.467290 514946 510956 3990 88345 0.774839 17.156168\n", + "관악구 4942 25.527051 499449 485699 13750 79871 2.753034 15.991823" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.sort_values(by='인구수', ascending=False).head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "daffab30", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "26ed3924", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.plot([1,2,3,4,5,6,7,8,9,8,7,6,5,4,3,2,1,0])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "ea6e61da", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "t = np.arange(0,12,0.01)\n", + "\n", + "y = np.sin(t)" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "90eae782", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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XnPC6fmN3lRXVlm48fF0GRER3HJf71LJ0BBgMeOpdjooRXak/HziH3kEbPuPjo+ajHlqejvbeIbx2tF53FKJJcUYhlgKgdszPdY7bPkJEpgHIALBrzM3BIlIsIvtE5DYn5PE5v3/vNBIig3DznGTdUdwiPiIIty1IxiuH69HRN6Q7DpHHG7bZ8ezeM1g+PRazkqN0x3GLJRkxyEuKxB/eP83NPeTV3L1Y/x4Am5RSY8eSpyml8gHcB+AJERm3QZaIPOIo2IqtVqs7snqEaksX3q1qxqeWpftMY8Yr8all6egbsuGvPPaI6LJ2lDWhsbMfn17hH6NhwEjLm0+vSEdlUzc+4LFH5MWc8Td7PYCx+6RTHbeN5x5cMC2plKp3/HkKQBGABeM9USn1pFIqXymVHx8fP9nMXuO5fecQaDTgHh/din4xs1OisDAtGs/tOws7G7wSXdJz+84hOSoYq3LNuqO41cfmJSM2LBC/f/+M7ihEE+aMQuwggGwRyRCRQIwUWx/Z/SgiuQCmAPhgzG1TRCTI8X0cgBUATjohk0/oHRzGXw/X4cY5iYj1gcO9r9YDy6bhVHMPD/kluoQaazfeq27GfUvTYDT4/hrSsYIDjLhvaRp2ljfhXEuv7jhEEzLpQkwpNQzgUQBbAZQBeFkpVSoi3xWRsbsg7wHwovr7yfyZAIpFpARAIYDHlVIsxBxeLzmPrv5h3H/NNN1RtLhpThJiwwLxxw/O6I5C5LGe33cOAUbBx/1s1HzUJ5dOg0EELxw8pzsK0YQ4peOfUuotAG9dcNtjF/z87XGetxfAHGdk8EXP7TuHnIQI5E+bojuKFkEmIz6xeCp+u7sG9e19PnesE9Fk9Q3asOlQLdbPSoQ5wrdbVlxMomNK9i/FtfjSmhl+tZaWfAP/i/VQJbXtOF7fgU9ek+YXLSsu5r6laQCAP+9n40aiC71ech6d/cN4wE9HzUfdtyQNzd2D2FHWpDsK0VVjIeahntt3FqGBRty+YNxOIH4jdUooVuWa8dLBOgzZ7LrjEHmUP+07ixkJ4Vji442eL+f6GfFIiQ7Bn/dzepK8DwsxD9TRO4TXj53HxvkpiAgO0B1Hu3sWp6G5ewCF5RbdUYg8xuio+f3XTPPrUXNg5JzaexZPxXvVzTjDEznIy7AQ80CvHKlD/5Ad91+TpjuKR1iZEw9zRBBeLq69/IOJ/MRLxbUIDjDgNj8fNR/18cVTYTRw0T55HxZiHujl4jrMSYnymw7Zl2MyGnDnolQUVlhh6ezXHYdIu75BG14/eh43zU5CJEfNAQAJkcFYnWvGpuI6DA5zGQN5DxZiHuZEfQfKGjpxd36q7ige5eP5U2GzK2w6zE77RFtLG9E1MIy78/2zZcXF3Ls0DS09g9hVzkX75D1YiHmYTYfqEGg04NZ5/nGu5JXKiAvDkowY/KW4jufKkd97ubgWaTGhWOrni/QvdH12PBIig7CJR6ORF2Eh5kEGhm147Wg91s1KQHRooO44HucT+VNxurkHB0636o5CpE1tay/21rTg7kWpMPhZJ/3LMRoEty8YWcZg7RrQHYfoirAQ8yA7TlrQ3jvE6YaLuGlOEiKCTHiJi/bJj/3lUB1EgDsXcfnCeO5alAKbXWHz0YsdeUzkWViIeZC/HKpFUlQwrs2K0x3FI4UEGvGx+cl463gDOvuHdMchcju7XeGvh+pwbVYcknnSxLiyzBGYPzWayxjIa7AQ8xCNHf3YU2nFHQtT/O7g3qvx8fyp6B+y4+3jDbqjELnd3poW1Lf34eMcNb+kuxaloqKpC6XnO3VHIbosFmIe4pUjdbAr4K5FvMBeyrzUKGTGheHVI5x2IP/zl0O1iAoJwNq8BN1RPNrH5iYj0GTgon3yCizEPIBSI9MNi9OnICMuTHccjyYiuH1BCvadakV9e5/uOERu0zMwjG2lTbhlbhKCA4y643i0qNAArMtLwGtH6zEwbNMdh+iSWIh5gNLznaix9rBD9hUafZ9e46gY+ZFtJxvRN2TjdeIK3bUoFe29QzwajTweCzEP8NqRegQYBTfPSdIdxStMjQnF4vQpePVIPRfjkt947ch5pESHYFHaFN1RvMJ12SNHo/31MD+wkWdjIaaZza6wpeQ8bphhZu+wq3DbghRUW7q5GJf8grVrAO9WWbFxfjJ7h10ho0Fwy9xk7K6woqOPu6zJc7EQ02zfqRZYugZw2wJ20r8at8xJRqDRgFf4aZf8wBvHzsOugNs5LXlVNs5PxqDNjq0nGnVHIbooFmKabT5aj/AgE9bM5C6oqxEVGoCC3HhsKTmPYRsP+CXf9trR88hLikR2QoTuKF5lbmoU0mNDsbmEH9jIc7EQ06h/yIa3jzdi/axE7oKagNsXpKK5ewDvVTfrjkLkMqebe1BS285R8wkQEdw6PwV7a1pg6ezXHYdoXCzENCost6BrYJgX2AkqyI1HVEgANh89rzsKkcu8dqQeIsCt8zgtORG3zkuGUsDrx9gEmjwTCzGNXjtaj7jwICzLjNUdxSsFmYxYPysB2082oX+IvYLI9yg1cmbissxYJEYF647jlbLM4ZiVHIktJfzARp6JhZgmHX1DKCy34mPzkmAy8l/DRH1sXjK6B4ZRVGHVHYXI6UrqOnCmpRe3zedo2GRsnJ+Mktp2nGnu0R2F6CNYAWjyzokGDNrsvMBO0rLMWMSGBeKNY/y0S75ny9HzCDQasGFOou4oXu2WuSPLPzgqRp6IhZgmr5c0ID02FHNTo3RH8WomowEbZidiZ5kFvYPDuuMQOY3drvDW8QZcPyMekcEBuuN4teToECzJiMFrR9kEmjwPCzENWroH8MGpFtw8NwkibM44WbfMTUbfkA27eJQJ+ZAjtW1o7OzHLXN54oYzbJyfjFPWHjaBJo/DQkyDraVNsNkVbuKRRk6xJCMG8RFBeJ3TDuRD3jjWgECTAatnmnVH8Qk3zU6C0SB48zh3T5JnYSGmwVvHR6Yl85IidUfxCUbDyDmdhRVWdPXzKBPyfna7wtvHG3HDjHhEcFrSKaaEBWL59Fi8dbyB05PkUViIuVlrzyCnJV3gY/OSMDhsx46yJt1RiCbt8DlOS7rCTXOScLalFycbOD1JnsMphZiIbBCRChGpFpGvj3P/QyJiFZGjjq+Hx9z3oIhUOb4edEYeT7a1tJHTki6wYOoUJEcF440STjuQ9/vbtCSPPnOmdXkJMBoEbx/n2ZPkOSZdiImIEcCvANwIIA/AvSKSN85DX1JKzXd8PeV4bgyAbwFYCmAJgG+JyJTJZvJknJZ0DYNBcPPcJOypsqKjl9OT5L3sdoW3TzRg5Yx4hAeZdMfxKbHhQbgmM4bTk+RRnDEitgRAtVLqlFJqEMCLADZe4XPXA9iulGpVSrUB2A5ggxMyeaTWnkHsrWnBTXM4LekKt8xNxpBNYetJftol73XoXBuaOgdwM6clXeLG2Uk41dyDiqYu3VGIADinEEsBUDvm5zrHbRe6U0SOicgmEZl6lc/1CZyWdK25qVFIiQ7B1hMsxMh7vclpSZdaPysRBgHe4tmT5CHctVj/dQDpSqm5GBn1evZqf4GIPCIixSJSbLV653E2o9OSs5I5LekKIoINsxPxblUzd0+SVxqdlizI4bSkq8RHBGFJRgze4gc28hDOKMTqAUwd83Oq47YPKaValFIDjh+fArDoSp875nc8qZTKV0rlx8fHOyG2e3Fa0j1unJ2IQZsdhTx7krzQ6LQkR81d6+Y5Sai2dKOS05PkAZxRiB0EkC0iGSISCOAeAFvGPkBExl5VbgVQ5vh+K4B1IjLFsUh/neM2n7ON05JusTBtCuIjgjg9SV7pzWMNCOK0pMutn50IkZFZCiLdJl2IKaWGATyKkQKqDMDLSqlSEfmuiNzqeNgXRKRUREoAfAHAQ47ntgL4HkaKuYMAvuu4zee8ebwB0zgt6XIGg2BdXgIKKyzoH7LpjkN0xex2hXdOjDRx5bSka5kjgrE4PYZtLMgjOGWNmFLqLaXUDKXUdKXUDxy3PaaU2uL4/htKqVlKqXlKqQKlVPmY5/5eKZXl+PqDM/J4mo7eIXxQ04IbZ3Na0h1unJ2E3kEb9lRyepK8x/H6DjR29mP9rETdUfzCzXOSUNHUhWpLt+4o5OfYWd8NdlU0YdiusH4WpxvcYWlmDKJCAvAOpyfJi2wtbYTRIDxb0k02cHqSPAQLMTfYVtoEc0QQ5qVG647iFwKMBqzNS8COsiYMDtt1xyG6IltLG3FNZgyiQwN1R/ELCZHBWJg2BdvYd5A0YyHmYv1DNhRVWLFuVgIMBk5LusuGWYno7B/GB6dadEchuqxqSzdqrD2clnSzdXkJOFHfifr2Pt1RyI+xEHOxd6ua0Tdkw7o8XmDd6drsOIQFGjk9SV5ha+nIf6dr87h8wZ3WOQrf7aW8TpA+LMRcbFtpIyKCTbgmM1Z3FL8SHGBEQa4Z20+OtA0h8mTbShsxLzUKSVEhuqP4lYy4MGSbw7HtZJPuKOTHWIi50LDNjh1lTViVa0agiW+1u904OwnN3YMoPuOTHVHIRzR09KGkruPD0Rlyr3WzErD/dCvaewd1RyE/xerAhQ6eaUNb7xDXfWiyMiceQSYD3ub0JHmw7Y7RGF4n9FiXlwibXWFXuUV3FPJTLMRcaNvJRgSaDLhhhvcdyeQLwoJMuDYrDjvKmqAUpyfJM20tbcT0+DBkmcN1R/FLc1KikBgZjG2lnJ4kPViIuYhSCttKm3BdVhzC2CVbm7V5Cahr60MFz5QjD9TeO4h9p1o5GqaRwSBYm5eA3ZVWnsZBWrAQc5HS8yNbonmB1WvVTDNEgO38tEseaGeZBTa74nVCs3WzEtA3ZMN7Vc26o5AfYiHmIttKG2EQsEu2ZuaIYMyfGo0dZSzEyPNsLW1EUlQw5qZG6Y7i15ZmxCIi2MTmrqQFCzEX2VrahPz0GMSGB+mO4vfWzExASV0Hmjr7dUch+lDfoA17qqxYl5fAM2g1CzQZsCrXjB2OEUoid2Ih5gJnmntQ0dSFdWzO6BFG/z1wVIw8yZ4qK/qH7JyW9BDr8hLR2jOIQ2fbdEchP8NCzAVGh7d5gfUMWeZwTIsNxQ42bSQPsuNkEyKDTVicEaM7CgG4IScegUYDtrHLPrkZCzEX2FFmQW5iBKbGhOqOQgBEBGtmJuD9mhb0DAzrjkMEu12hsMKClTlmBBh5GfYE4UEmrMiKxbaTbHdD7sUrgJO1944MbXORvmdZm5eAwWE73q2y6o5ChKN17WjuHuR1wsOsm5WIc629KG9kuxtyHxZiTlZUYYXNrrB6JteHeZL8aVMQHRrAM+XII+wsa4LRIFg5g4WYJxktjHdyPSm5EQsxJ9tR1oS48EDMT43WHYXGMBkNWJVjRmG5BcM2u+445Od2llmwOH0KokIDdEehMcwRwZiXGoWdPO6I3IiFmBMN2ezYXWlFQY4ZBgO3o3uaNXkJaOsd4q4o0qqubWTqaw1HzT3S6pkJOFrbjubuAd1RyE+wEHOig2da0dU/zGlJD3X9jJFdUWxjQTrtLBsZbeF1wjOtyjVDKaCQo2LkJizEnGhnmQWBRgOuy47THYXGER5kwrLpsdjOXVGk0Y6yJmTGhyEjLkx3FBrHrORIJEYGf1gwE7kaCzEnUUphZ1kTlk2P5SHfHmxtXgLOtPSixtqtOwr5oe6BYew/1cppSQ8mIlg104x3q6wYGOYh4OR6LMScpMbagzMtvVjD7egebfQvwO0n+WmX3O/dSisGbXaszuV1wpOtmWlGz6AN+0+16o5CfoCFmJOMbndexU+6Hi0xKhhzUqK4Toy02FFmQVRIABZNm6I7Cl3C8ulxCA4wsI0FuQULMSfZWWbBzKRIpESH6I5Cl7Eq14wj59rQ1jOoOwr5EZujm35BTjxM7Kbv0YIDjLg2Kw47yy1cT0oux6uBE7T1DKL4bCunJb3Eqlwz7ArYXcku++Q+R2vb0NozyN2SXmL1zATUtfWhsonrScm1WIg5we5KK+xq5C948nxzUqIQFx6EXdyeTm60/aQFJoPghpx43VHoCoxez3eWc3qSXIuFmBOMdNMPwjx20/cKBoOgICceRRXssk/us7OsCUsyYhAZzG763iAhcmQ9KdtYkKs5pRATkQ0iUiEi1SLy9XHu/7KInBSRYyKyU0SmjbnPJiJHHV9bnJHHnUa76a/KjWc3fS+yKteMzv5hHD7XrjsK+YFzLb2osnRzWtLLrMo14/C5kSllIleZdCEmIkYAvwJwI4A8APeKSN4FDzsCIF8pNRfAJgA/HnNfn1JqvuPr1snmcbeDp9lN3xtdmx2HAKNwepLcYnSXLteRepc1MxPYZZ9czhkjYksAVCulTimlBgG8CGDj2AcopQqVUr2OH/cBSHXC63qEHWUWBJrYTd/bRAQHYElGDHZx/Qe5wc7yJmSZwzEtlt30vcms5EiYI7ielFzLGYVYCoDaMT/XOW67mM8AeHvMz8EiUiwi+0TkNifkcRulFHaWN2H59FiEBrKbvrcpyDGjsqkbdW29l38w0QR1DwzjwOlWNnH1QgaDYPVMM3ZXWjE4zPWk5BpuXawvIvcDyAfwkzE3T1NK5QO4D8ATIjL9Is99xFGwFVutntF24HRzD8629PIC66VGd0Vx2oFc6f3qZgzZFAp4nfBKq3IT0D0wjINn2GWfXMMZhVg9gKljfk513PZ3RGQNgG8CuFUpNTB6u1Kq3vHnKQBFABaM9yJKqSeVUvlKqfz4eM/Y/l1YMVIQrszhBdYbZcaHIz02FDtZiJELFVVYEBFkYjd9L3VtVhyCTAaexkEu44xC7CCAbBHJEJFAAPcA+LvdjyKyAMDvMFKEWcbcPkVEghzfxwFYAeCkEzK5RVGFBVnmcEyNCdUdhSZoVW4CPqhpQd8gD/cl51NKobDc6tgcwm5B3igk0Ijl02O5ToxcZtJXBqXUMIBHAWwFUAbgZaVUqYh8V0RGd0H+BEA4gL9c0KZiJoBiESkBUAjgcaWUVxRiPQPD2H+qFQVszujVVuWaMTBsx96aZt1RyAdVNHWhsbMfBRw192oFuWacbenF6eYe3VHIBzllhblS6i0Ab11w22Njvl9zkeftBTDHGRnc7YOaFgza7LzAerklGTEICzRiZ7mFLUjI6QrLR5YvsJu+d1s5wwygFIXlFmRcm6E7DvkYjpVPUGGFBWGBRuSnx+iOQpMw0nokHoU83JdcoLDCgrykSCREBuuOQpOQFhuK6fFhKKzg9CQ5HwuxCVBKoajCihVZcQg08S30dqtyzWjo6Ed5Y5fuKORDOvqGcOhsGwpyORrmCwpyzNh/qhW9g8O6o5CPYRUxAVWWbtS393E7uo9Y6fiLkotxyZner26Gza64fMFHFOSaMWizY291i+4o5GNYiE3AaN+plVz34RPMEcGYmxrFQoycqrDcgqiQAMyfGq07CjlBfvoUhAUaOT1JTsdCbAKKKqzITYxAUlSI7ijkJAU5Zhw514Y2Hu5LTmC3KxRVWnFddhxMbFvhE4JMRqzIikNRhZXrScmpeIW4Sl39Qzh4ppXTkj5mVa4ZdgXsrvSMUxvIu51s6IS1a4DTkj6mINeM+vY+VFm6dUchH8JC7Cq9X92MYbvCyhmclvQlc1KiEBcexC775BRFjukrtq3wLaPLUYo4PUlOxELsKhWWWxERbMJCHlfiUwwGwQ0z4vFulRU2O6cdaHIKK6yYmzpS3JPvSIoKQW5ixIf94YicgYXYVVBKobDCguuz43lciQ9amROP9t4hHK1t1x2FvFh77yCOnGvjGbQ+qiDXjINnWtHVP6Q7CvkIVhNX4WRDJyxdA9wt6aOuz46HQYDdnHagSdhT1Qy7Ao8/81EFOWYM2xXer+axaOQcLMSuQlEFjyvxZVGhAViYNgVFXLBPk1BUbkFMWCDmpkbrjkIusDAtGhHBJk5PktOwELsKRRUWzE6JhDmCx5X4qpU58ThW1wFr14DuKOSFRttWXJ8dB6NBdMchFzAZDbg+Ox6FFTwWjZyDhdgV6uh1HFfCdR8+bXRdzx6OitEEHKvvQGvPINvb+LiVOfGwdA3gZEOn7ijkA1iIXaE9VVbYFbgA18fNSo5EfEQQpydpQooqLBAZWW9IvuuGD9tY8DpBk8dC7AoVVlgQHcrjSnydyEgbiz2VVgzb7LrjkJcprLBiwdRoTAkL1B2FXMgcEYw5KVEfHndHNBksxK6A3a6wp9KKG2bEc92HHyjIMaOjbwglde26o5AXae4ewLG6do6a+4mCnHgcPteG9l4ei0aTw0LsCpw434Hm7kGuD/MT1zoWWnPaga7GnkorlAKvE35ipeNYtD1VbGNBk8NC7AoUlltH1n3wWCO/EBUSgIVp0ShkPzG6CkUVVsSFB2FWcqTuKOQG81KjMSU0AEWcnqRJYiF2BQorLJiXGo0YrvvwGytzzDhR3wlLV7/uKOQFbHaF3Y7lCwYuX/ALRsexaEWVVth5LBpNAguxy2jpHkBJXTunG/zM6OkJeyo57UCXd7S2DR19QyjI5ai5PynINaO1ZxDH6jt0RyEvxkLsMt6tah5Z98ELrF/JS4qEOSKI05N0RYoqrDAaBNdl8TrhT67PjocIuHuSJoWF2GUUVlgQFx6I2clRuqOQG422sXiXbSzoChRWWLAobQqiQgN0RyE3mhIWiAVTo9l3kCaFhdgljK77uJ7rPvxSQa4Znf3DOFrbrjsKeTBLZz9O1HfyDFo/tTLHjGN17Wju5rFoNDEsxC7haG072nuHuD7MT63IGmljwelJupTR0RBeJ/xTQY4ZSgG72e6GJoiF2CUUVVhg4HElfisqJACL0qawnxhd0u4KKxIigzAzKUJ3FNJgVnIk4sJ5LBpNHAuxSyissGDRNK778Gc35MSj9HwnLJ1sY0EfNWSzY0+VFStnmCHC5Qv+yGAQrMzhsWg0cSzELsLSNbLug8eV+LfR6SZ+2qXxHD7bhq7+Ye6q9nOjx6JxPSlNBAuxixid71/JBbh+bWZSBBIig7j+g8ZVWGGFySBYkRWnOwppxGPRaDKcUoiJyAYRqRCRahH5+jj3B4nIS47794tI+pj7vuG4vUJE1jsjjzMUVVhhjghCXhKPK/Fno20s9lRx2oE+qqjCgsXpMYgI5vIFfza6npQbe2giJl2IiYgRwK8A3AggD8C9IpJ3wcM+A6BNKZUF4GcAfuR4bh6AewDMArABwK8dv0+r0XUfBTlc90Ej0w5d/cM4fK5ddxTyIA0dfShv7OKoOQEAVuZyPSlNjDNGxJYAqFZKnVJKDQJ4EcDGCx6zEcCzju83AVgtIxXORgAvKqUGlFKnAVQ7fp9WXPdBY63IjoPJICjip10aY3QaqiCX60gJWDmD60lpYpxRiKUAqB3zc53jtnEfo5QaBtABIPYKn+t2RZVc90F/ExkcgIXT2MaC/l5huQUp0SHINofrjkIeYHQ9KT+w0dXymsX6IvKIiBSLSLHV6tq/EG+YEY+v35jLdR/0oYIcM042dKKJ0w4EYHDYjverm7EyJ57LFwjAyHrSghwz3q1sxhDXk9JVcEYhVg9g6pifUx23jfsYETEBiALQcoXPBQAopZ5USuUrpfLj4107ZXhNZiwevi7Tpa9B3mV0HRB3TxIAFJ9pRc+gje1t6O+szDGja2AYh8626Y5CXsQZhdhBANkikiEigRhZfL/lgsdsAfCg4/u7AOxSSinH7fc4dlVmAMgGcMAJmYicKjcxAomRwSiq5LQDjTR7DjQasHx6rO4o5EFWZMU61pPyAxtduUkXYo41X48C2AqgDMDLSqlSEfmuiNzqeNjTAGJFpBrAlwF83fHcUgAvAzgJ4B0An1dK2SabicjZRttYcNqBgJGF+kszYxAWZNIdhTxIRHAAFqfHcJ0YXRWnrBFTSr2llJqhlJqulPqB47bHlFJbHN/3K6XuVkplKaWWKKVOjXnuDxzPy1FKve2MPESuUJAbj66BYRzmtINfq23tRZWlGzfM4K5q+qiC3HiUN3bhfHuf7ijkJbxmsT6RbiuyHG0suD3dr43++2fbChrP6LrB3bxO0BViIUZ0hSKCA7CIbSz8XlG5BWkxociMC9MdhTxQtjkcKdEhKCzn9CRdGRZiRFehINeMsoZONHawjYU/6h+yYW9NC9tW0EWJCFbmxOP96mYMDnM9KV0eCzGiq/BhGwvunvRLB063om/IxmlJuqSCHDN6Bm0oPtOqOwp5ARZiRFchJ8HRxoLTk36psMKCIJMByzLZtoIubnlWLAKNBh4CTleEhRjRVRiddnivim0s/FFRhRXLpsciOMCoOwp5sNBAE5ZmxqCQH9joCrAQI7pK7J7tn0439+B0cw8K2E2frsDKHDOqLd2obe3VHYU8HAsxoqs02j2b0w7+ZbRJJwsxuhIFjvWkbHdDl8NCjOgqfdg9u5wXWH9SWGFFZnwY0mJDdUchL5ARF4a0mFAUsY0FXQYLMaIJKMiNR0VTF+rZPdsv9A4OY9+pFo6G0RUTERTkxOP9mmb0D/HkPro4FmJEE7DK0b6AZ8r5hw9qWjA4bGchRldlZa4Z/UN2HDjNNhZ0cSzEiCZgenw4Uqewe7a/KKywIDTQiMUZU3RHIS+yLDMWQSa2saBLYyFGNAEiglW5Zrxf3cJpBx+nlEJRhRUrsuIQZGLbCrpywQFGLJsey76DdEksxIgmqCDHjL4hG/Zz2sGn1Vi7UdfWx2lJmpCCHDNON/fgTHOP7ijkoViIEU3QsumOaQdOT/q0Qsfu2NHjrYiuxmgBz/WkdDEsxIgmKDjAiOXTY1FYYYFSSncccpHCCgtyEiKQHB2iOwp5obTYUGTGhbHLPl0UCzGiSViVa8bZll6c5rSDT+rqH8LBM61YmcvRMJq4lTlmfHCqBX2DXE9KH8VCjGgSVjqmHXZxetInvV/dgiGb4vowmpSC3HgMDtux71SL7ijkgViIEU3C1JhQZJnDuSvKRxVVWBARZMKiaWxbQRO3JCMGIQFGtrGgcbEQI5qkVblm7D/dgp6BYd1RyImUUiissOC6GXEIMPJSSRMXZDJiRVYsdpVzPSl9FK8uRJO0MiceQzaF96qbdUchJypr6EJT58CH089Ek7Eyx4y6tj7UWLmelP4eCzGiSVqcHoPwIBO3p/uY0WmklTO4UJ8mb7T9Ca8TdCEWYkSTFGA04LrsOBSWWznt4EN2V1gxOyUS5shg3VHIB6ROCUU215PSOFiIETlBQa4ZjZ39KGvo0h2FnKCjdwiHzrVxtyQ5VUGuGQdOt3I9Kf0dFmJETjA67cBdUb7h3WorbHbF9WHkVCtz4jFos2NvDdtY0N+wECNyAnNEMOakRPG4Ix9RWG5FdGgA5k+N1h2FfEj+tJH1pPzARmOxECNykoKceBw+14b23kHdUWgS7HaF3ZUW3DAjHkaD6I5DPiTQZMCKrFgUsY0FjcFCjMhJVuaaYVfA7kouxvVmJ853oLl7kId8k0sU5JhxvqMflU3duqOQh5hUISYiMSKyXUSqHH9+pP20iMwXkQ9EpFREjonIJ8bc94yInBaRo46v+ZPJQ6TTvNRoxIQFcleUlysst0IEuD6bhRg53+i6Q7axoFGTHRH7OoCdSqlsADsdP1+oF8CnlFKzAGwA8ISIRI+5/ytKqfmOr6OTzEOkjdEguGFGPIoqLLDZOe3grXaVN2FeajRiw4N0RyEflBgVjJlJkVwnRh+abCG2EcCzju+fBXDbhQ9QSlUqpaoc358HYAHAj5rkkwpyzWjrHUJJXbvuKDQBlq5+lNR1YM1M7pYk11mZE4/iM23o6h/SHYU8wGQLsQSlVIPj+0YACZd6sIgsARAIoGbMzT9wTFn+TET4EZS82vXZcTAIuHvSS43+e1s985KXMqJJKcgxY9iu8F4Vj0WjKyjERGSHiJwY52vj2MepkS0gF52PEZEkAH8C8GmllN1x8zcA5AJYDCAGwNcu8fxHRKRYRIqtVq7BIc8UHRqIRdOmcNrBS+0ssyA5Khi5iRG6o5APW5gWjchgE3bxAxvhCgoxpdQapdTscb42A2hyFFijhda4/1WJSCSANwF8Uym1b8zvblAjBgD8AcCSS+R4UimVr5TKj4/nzCZ5rpU5Zpyo74Sls193FLoK/UM2vFvVjNUzEyDCthXkOiajAStzzCissMDO9aR+b7JTk1sAPOj4/kEAmy98gIgEAngVwB+VUpsuuG+0iBOMrC87Mck8RNoVfLgriiO33uSDUy3oG7JhFdeHkRusnmlGc/cgjnI9qd+bbCH2OIC1IlIFYI3jZ4hIvog85XjMxwFcD+ChcdpUPC8ixwEcBxAH4PuTzEOk3cykCCRFBWNneZPuKHQVdpVZEBJgxLLMWN1RyA+snGGG0SDYWcbrhL8zTebJSqkWAKvHub0YwMOO758D8NxFnr9qMq9P5IlEBKtyzXj1SD36h2wIDjDqjkSXoZTCzrImXJsdx39f5BZRoQFYnD4FO8ss+Mr6XN1xSCN21idygTV5CegdtGHfKR7u6w3KG7twvqOfbSvIrdbMTEB5Yxfq2np1RyGNWIgRucCyzFiEBhqxg9MOXmF0emh0fR+RO4y2SdlZxt2T/oyFGJELBAcYcV12HHaW8XBfb7Cz3IK5qVEwRwbrjkJ+JCMuDJnxYfzA5udYiBG5yOqZCWjo6Efp+U7dUegSmrsHcLS2Hatz2cSV3G/NzATsP9WK7oFh3VFIExZiRC6yKtcMEfDTrocrLLdAqZF2AkTutjrXjEGbHe9Wst2Nv2IhRuQiceFBWJg2hes/PNzOMgsSIoMwKzlSdxTyQ4umTUFUSAB28Drht1iIEbnQ6plmHK/vQENHn+4oNI6BYRverbJiVS676ZMeJqMBBTnxKKywwMYu+36JhRiRC63lriiPtv9UK3oGbWxbQVqtnpmA1p5BHK1t0x2FNGAhRuRCWeZwTIsNZfdsD7Wr3IIgkwHLp8fpjkJ+7IaceJgMwulJP8VCjMiFRASrcxPwfk0LergryqMopbCjrAnXZsUhJJDd9EmfyOAALMmIwY6T/MDmj1iIEbnYmjwzBofteLeqWXcUGqOyqRt1bX085Js8wuqZCaiydONcC7vs+xsWYkQutjg9BhHBJk5PephtpY0A/raOj0in0XWKbHfjf1iIEblYgNGAghwzdpVzV5Qn2XayCQvSotlNnzzCtNgwZJnDsbOchZi/YSFG5AZr8hLQwl1RHuN8ex+O13dgXV6i7ihEH1o904z9p1rR0TekOwq5EQsxIje4YQZ3RXmS7Y5F0etmcVqSPMe6vEQM2xWKKnid8CcsxIjcICqEu6I8ybaTjZgeH4bp8eG6oxB9aMHUaJgjgrDVsX6R/AMLMSI3WePYFXWmuUd3FL/W0TuEfadasW4WpyXJsxgMgrV5CSiqsKJ/yKY7DrkJCzEiN1mbNzINxk+7eu2qaILNrrAuj9OS5HnWzUpE76AN77Hdjd9gIUbkJlNjQjE7JZKFmGbbSptgjgjCvNRo3VGIPmJZZiwigk28TvgRFmJEbrQ+LxGHz7WjqbNfdxS/1D9kw+5KK9bmJcBg4CHf5HkCTQasyjVjR1kThm123XHIDViIEbnRhtkj65K28dOuFntrmtE7aOP6MPJo62cloq13CMVn2e7GH7AQI3KjLHM4MuPD8A4LMS22lTYhIsiEZZmxuqMQXdQNM+IRaDJwetJPsBAjciMRwYZZidh3qhXtvYO64/gVm33kkO+VuWYEmnjpI88VFmTC9dlx2FbaBKV4Goev49WIyM3Wz0p0FAVs2uhOR861obl7kLslySusy0tEfXsfSs936o5CLsZCjMjN5qZGISkqGO+c4LSDO2072YRAowErc+J1RyG6rNUzzTAI2934AxZiRG4mIlg/KxF7qqzoGRjWHccvKKXwzolGLM+KRURwgO44RJcVGx6ExekxLMT8AAsxIg02zE7E4LAduyutuqP4hdLznTjX2oubZifpjkJ0xdbPSkRlUzdO8zQOn8ZCjEiDxekxiAkL5PSkm7x1vAFGx/ExRN5i9FB6trvxbZMqxEQkRkS2i0iV488pF3mcTUSOOr62jLk9Q0T2i0i1iLwkIoGTyUPkLYwGwdqZCdhVbsHAMM+UcyWlFN463oDl02MxJYyXGPIeqVNCMSclCm/xA5tPm+yI2NcB7FRKZQPY6fh5PH1KqfmOr1vH3P4jAD9TSmUBaAPwmUnmIfIaG2YnontgGHtrWnRH8WllDV0409KLm+ZwWpK8z01zklBS2466tl7dUchFJluIbQTwrOP7ZwHcdqVPFBEBsArApok8n8jbLc+KRXiQCe8c56ddV3r7RAMMAratIK90s+MDxNu8TvisyRZiCUqpBsf3jQAudqULFpFiEdknIrc5bosF0K6UGt02VgcgZZJ5iLxGkMmIVblmbDvZiCGeKecSSim8ebwB12TGIjY8SHccoquWFjsyPfnG8YbLP5i80mULMRHZISInxvnaOPZxaqT978VaAE9TSuUDuA/AEyIy/WqDisgjjmKu2GrlTjPyDTfPTUJb7xCnJ12ksqkbp6w9nJYkrzY6PVnbyulJX3TZQkwptUYpNXucr80AmkQkCQAcf47bKlwpVe/48xSAIgALALQAiBYRk+NhqQDqL5HjSaVUvlIqPz6eDRnJN9wwIx4RQSa8eey87ig+6a3jDRAZaQNA5K0+nJ48wVExXzTZqcktAB50fP8ggM0XPkBEpohIkOP7OAArAJx0jKAVArjrUs8n8mXBAUaszUvAOycaMTjM6Ulne+t4A5akxyA+gtOS5L1Gpyff5DoxnzTZQuxxAGtFpArAGsfPEJF8EXnK8ZiZAIpFpAQjhdfjSqmTjvu+BuDLIlKNkTVjT08yD5HXuXluEjr7h/F+dbPuKD6lqqkLVZZu3DyX05Lk/Tg96bsmVYgppVqUUquVUtmOKcxWx+3FSqmHHd/vVUrNUUrNc/z59Jjnn1JKLVFKZSml7lZKDUzuH4fI+1yXHY/IYBNe5/SkU719ohEiwAZOS5IP4PSk72JnfSLNAk0GrJ+ViO2lTegfYnNXZ3nreAMWT4uBOTJYdxSiSftwevIYCzFn6R+y4b2qZgxr3rXOQozIA9w8NwldA8N4t4rTk85Q1dSF8sYu3DSHo2HkO26em4SSug5OTzrJrnIL7n96Pw6cbtWag4UYkQdYkRWHKaEBeIPTk06xpeQ8DALcPDdZdxQipxmdnnyLPcWc4vWS84gLD8LSzFitOViIEXmAAKMBG2YnYsdJTk9OllIKm4+ex4qsOO6WJJ8yNSYUc1Oj8CYLsUnr6h/CrnILbpmbBKNBtGZhIUbkIW6Zm4yeQRuKKsZtx0dX6GhtO8619uLWeRwNI99zy9wkHKvrwOnmHt1RvNqOsiYMDNvxsXn6d1WzECPyEEszYhAbFojXuRh3UraUnB/ZADGb68PI99w6LwUiwGtHLtr/nK7A5qPnkRIdggVTp+iOwkKMyFOYjAbcOCcRu8os6BkYvvwT6CNsdoXXSxqwKseMyOAA3XGInC4xKhjLMmOx+Wg9Rvqi09Vq7h7Au1XN2Dg/GQbN05IACzEij7Jxfgr6hmzYWsoO2hPxQU0LmrsHsHE+pyXJd902PwVnWnpRUtehO4pXeqPkPGx2hdsWpOiOAoCFGJFHyZ82BVNjQvAqpx0mZEtJPcKDTCjINeuOQuQyG+YkItBk4PTkBL169DzykiIxIyFCdxQALMSIPIqI4Pb5KXi/uhlNnf2643iV/iEb3j7RiPWzEhEcYNQdh8hlIoMDsDrXjDeOndfejNTbnG7uQUltO25b4Dmj5izEiDzMbQtSYFfAlqPsKXY1iiqs6Oof5rQk+YWN81PQ3D2I92tadEfxKq8dqYfIyKYHT8FCjMjDZMaHY97UaLzCaYersqWkHnHhgVg+XW9zRiJ3KMgdOaOW05NXbqTHYD2WZcYiMcpzjj5jIUbkge5YkIKyhk6UN3bqjuIVOnqHsOOkBbfMTYbJyMsa+b4gkxE3zUnC1tJG9A5yl/WVOFrbjjMtvR6zSH8Ur1hEHuiWuUkwGQSvHuan3Sux5dh5DNrsuGtRqu4oRG5z24IU9A7asP1kk+4oXmHz0ZEegxs8rMcgCzEiDxQbHoQbZsTjtaP1sNnZK+hy/nqoDrmJEZiVHKk7CpHbLEmPQXJUMHdZX4Ehmx2vl5zHmpme12OQhRiRh7p9YQqaOgfwARfjXlK1pQtHa9tx16JUiOhvzkjkLgaD4I6FqdhTaUVjB3dZX8qucgtaegY9ctSchRiRh1ozMwERQSa8cqROdxSPtulQPYwGwcb5nrXug8gd7lqUCrsCrxOX8ZfiWpgjgnB9drzuKB/BQozIQwUHGHHz3CS8fbwRXf1DuuN4JJtd4dUjdSjIiUd8RJDuOERulx4XhiUZMfhLcR2PPLoIS1c/CiusuGNhqkdu5vG8RET0oY8vnoq+IRve4EHg43q3yoqmzgGPnG4gcpe7F6XidHMPis+26Y7ikV49PLLW9u58z7xOsBAj8mALpkZjRkI4XjxYqzuKR/rr4XpEhwbwSCPyazfNSUJYoBF/KeZ14kJKKbxcXIv8aVMwPT5cd5xxsRAj8mAigk8sTkNJbTt7il2go28IW0sbsXFeMoJMPNKI/FdYkAm3zE3GG8ca0DPAnmJjHT7Xjhprj8eOhgEsxIg83u0LUhBgFLzEUbG/89qRegwO23F3/lTdUYi0uzs/Fb2DNrx1nMsYxtp0qBYhAUbcPNdzjz5jIUbk4WLCArFuViJePVKP/iGb7jgeQSmFP+8/h7mpUZidEqU7DpF2i6ZNQWZcGP5SzN2To3oHh/F6SQNunpuE8CCT7jgXxUKMyAvcs3gq2nuHsI0dtAGMTDdUNHXh3iVpuqMQeQQRwd35U3HgTCuqLd2643iEN481oHtgGHd7+GYeFmJEXmDF9DikRIfgZU5PAgD+vP8cwoNMuHWe5043ELnb3fmpCDAKnt9/VncUj/Dc/nPIModjSUaM7iiXxEKMyAsYDIJPLJ6K96qbca6lV3ccrTp6h/DGsfPYOD8ZYR483UDkbnHhQbhxdhI2Harz+4PAT9R3oKS2HZ9cmubxJ26wECPyEh/PnwqjgZ92Xz1Sh4FhO6clicbxwLJp6Oofxusl53VH0eq5fWcREmDEHQs9e1oSYCFG5DUSo4KxflYCXiqu9dtF+0opvHCgFvO4SJ9oXPnTpiAnIQJ/2nfWbzvtd/QN4bWj9bh1XjKiQjzrgO/xTKoQE5EYEdkuIlWOP6eM85gCETk65qtfRG5z3PeMiJwec9/8yeQh8nUPXJOO9t4hbPHTT7sHz7ShoqkL9y3laBjReEQE91+ThhP1nSip69AdR4tXDtehf8iO+6+ZpjvKFZnsiNjXAexUSmUD2On4+e8opQqVUvOVUvMBrALQC2DbmId8ZfR+pdTRSeYh8mnXZMZgRkI4/vjBGb/8tPvM3tOIDg3ArfN4wDfRxdy2IAVhgUY8t8//ljEopfD8/nOYlxqFOaneMWo+2UJsI4BnHd8/C+C2yzz+LgBvK6X8e7Ux0QSJCB5Ylo4T9Z04UtuuO45b1bf3YWtpE+5ZnIaQQHbSJ7qYiOAA3LYgBa+XnEd776DuOG71wakWVFu68UkvGQ0DJl+IJSilRtv4NgJIuMzj7wHwwgW3/UBEjonIz0QkaJJ5iHze7QtSEB5kwh/3ntEdxa3++MEZACOLkYno0h5YNg0Dw3a/O5Hj9++dRkxYoFe1trlsISYiO0TkxDhfG8c+To3Mk1x0rkREkgDMAbB1zM3fAJALYDGAGABfu8TzHxGRYhEptlqtl4tN5LPCg0y4a1Eq3jzeAGvXgO44btE3aMOLB2qxflYCUqJDdMch8ni5iZFYlhmLZ/aewZDNrjuOW5xu7sHOcgvuX5qG4ADvGTW/bCGmlFqjlJo9ztdmAE2OAmu00LJc4ld9HMCrSqmhMb+7QY0YAPAHAEsukeNJpVS+Uio/Pj7+Sv/5iHzSp5ZNw7BdfThK5OtePVKPjr4hPLQ8Q3cUIq/x8HUZaOjo95vzJ//w/mkEGAy438tGzSc7NbkFwIOO7x8EsPkSj70XF0xLjiniBCPry05MMg+RX8iMD8famQn4076zPt+4USmFZ/aexqzkSCxO/8jGbCK6iIIcMzLjw/DUu6d9fnNPe+8g/lJch1vnJ8McEaw7zlWZbCH2OIC1IlIFYI3jZ4hIvog8NfogEUkHMBXA7gue/7yIHAdwHEAcgO9PMg+R33jk+ky09w75/CG/uyutqGzqxkPL0z2+QzaRJzEYBA9fm4nj9R3Yf7pVdxyXeuFALfqGbPjMtd43aj6pQkwp1aKUWq2UynZMYbY6bi9WSj085nFnlFIpSin7Bc9fpZSa45jqvF8pxZNKia5QfnoMFqZF46n3TsFm991Pu78pqkFSVDA2zmfLCqKrdcfCFMSEBeKpd0/pjuIyQzY7nt17BiuyYjEzKVJ3nKvGzvpEXuyR6zNR29qHd0406o7iEofOtmH/6VY8fF0mAk28XBFdreAAI+6/Zhp2lFlQY/XNsY4tR8+jsbMfD1+bqTvKhPDKRuTF1uYlIj02FE/uqfHJNSC/KapBdGgA7lk8VXcUIq/1wDXTEGQy4He7a3RHcTq7XeHXRdXITYzAyhzv3MjHQozIixkNgoevy0RJXQf21rTojuNUlU1d2FHWhAeXpSMsyKQ7DpHXio8Iwr1L0vDK4XrUtvpWP/V3ShtRY+3B5wuyvHYNKQsxIi9316JUJEYG4+c7qnxqVOy3RTUICTDioeXpuqMQeb1/vmE6DCL4dZHvjIoppfDLXdXIjAvDTXOSdMeZMBZiRF4uOMCIzxVMx4EzrfjAR0bFzrb0YHPJedyzZCqmhAXqjkPk9RKjgvHxxanYdKgW59v7dMdxisIKC042dOKzK6fDaPDO0TCAhRiRT/h4/lQkRgbjCR8ZFfv5ziqYDIJ/vmG67ihEPuOzK7MAAL/1gbViSin8Ymc1UqJDcNsC795RzUKMyAf40qhYtaUbrx2px6eWTUNCpHc1ZiTyZCnRIbhrUSpePFCLxo5+3XEmZUeZBUdr2/HoqiwEGL27lPHu9ET0odFRsZ/tqPTqUbEndlQiOMDI0TAiF/jcyizYlcL/7arSHWXC7HaF/9lagYy4MNy9KFV3nEljIUbkI0ZHxQ6eaUNRpVV3nAkpa+jEG8ca8OkV6YgND9Idh8jnTI0JxX1L0/DiwVqc8tK+YltKzqOiqQtfXjsDJi8fDQNYiBH5lHsWpyE9NhT//VYZhm32yz/Bw/xkawUigk34x+u8szEjkTf4wupsBJsM+MnWCt1RrtqQzY6fbq9EXlIkbvbinZJjsRAj8iGBJgO+tiEXlU3d2HTIu86g3FNpxa5yCx4tyEJ0KHdKErlKXHgQ/vH6TLx9ohGHz7XpjnNV/rz/HM619uIr63Ng8OKdkmOxECPyMRtmJ2LRtCn43+2V6BkY1h3nigzb7Pj+myeRFhOKh1ak645D5PP+8bpMxIUH4vG3yr1mTWlbzyB+ur0S12bFeW0X/fGwECPyMSKC/7hpJqxdA/jdHu846PfFg7WobOrGN27MRZDJqDsOkc8LCzLhS2tn4MCZVmwpOa87zhX56fZKdA8M47GP5XltF/3xsBAj8kGLpk3BrfOS8dvdNTjd3KM7ziV19A3hZ9srsSQjBhtmJ+qOQ+Q37lmchjkpUfjBm2Xo6h/SHeeSyhs78fz+s3jgmmmYkRChO45TsRAj8lH/efNMBBkNeGzzCY+eenj87XK09Q7isVt861MukaczGgTfu202rN0D+MVOz21noZTCt7eUIiokAP+6Jlt3HKdjIUbko8yRwfj39Tl4t6oZbxxr0B1nXAdOt+KFA+fwmWszMDslSnccIr8zf2o07lk8Fb9//wwqGrt0xxnXy8W12HeqFV9Zn+uTG3lYiBH5sPuvmYY5KVH47hsn0dHnWVMPA8M2fOOVY0iJDsGX1s7QHYfIb31lfS4ig0346qYSj2t7Y+nsx/ffLMOSjBjcs3iq7jguwUKMyIcZDYIf3j4HrT2D+M6WUt1x/s6vCmtQY+3B92+fjdBAk+44RH4rJiwQ37ttNkrqOjzqHEqlFB7bXIqBYTsev2OOz7SruBALMSIfNyc1Cp8vyMIrR+rx9nHPmKI8dLYNvyqsxu0LUlCQY9Ydh8jv3TI3GTfPTcLPd1bh5PlO3XEAAH89XI93ShvxpTUzkBkfrjuOy7AQI/ID/7IqC3NSovAfrx6HpVPvYb9d/UP415eOIDEyGN/ZOEtrFiL6m+9tnI2okEB8+eWj6B+yac1yprkH39p8AksyYvDI9b590gYLMSI/EGA04GefmIe+IRsefeGItnUgo1MN9W19eOKe+YgMDtCSg4g+KiYsED++aw7KG7vwndf1LWUYHLbjiy8dhdEgeOIT82H00SnJUSzEiPxEljkC/33HHBw43Yofazpj7pm9Z/DqkXp8YXU2FqfHaMlARBe3KjcBn105HS8cqNV2TNq3Xy9FSW07fnTnXCRHh2jJ4E4sxIj8yO0LUvHANdPw5J5Tbu+m/UFNC77/ZhnWzEzAF1b5Xi8gIl/xb2tn4JrMGHzz1eM4Wtvu1td+bt9Z/Hn/OXx25XTc6COHel8OCzEiP/Oft8zEkvQY/PvLJfigpsUtr1nV1IXPPn8I6bGh+Nkn5vns7iciX2AyGvDL+xbCHBmEzzxzEGdb3HM6x55KK769pRQFOfH493U5bnlNT8BCjMjPBJmMePJTi5AWG4pH/lSMsgbX7pCqbe3FA08fQIDRgN8/tBgRXBdG5PHiwoPwzKeXwKYUHvrDQVi7Blz6esVnWvHIn4qRnRCBn9+7wOfXhY3FQozID0WHBuLZf1iC0EAj7vt/+3CivsMlr1PX1osHnt6P3sFh/OkzSzAtNswlr0NEzjc9PhxPfSofjR39+MSTH6CxwzU7ro/WtuPTzxxEUlQI/vgPS/xuEw8LMSI/lRIdgpceWYbQQBPu/X/7UHym1am/v7yxE3f+Zi9aewbxzD8sQW5ipFN/PxG5Xn56DJ79hyVochRjzp6mLKyw4N4n9yE6NADPPbwU8RFBTv393oCFGJEfS48Lw8v/vAxx4UG49//tw/P7zzrlgPAdJ5tw928/AAC8/M/LsDBtyqR/JxHpsSQjBn96eCnae4dw6y/fx+5K66R/p1IKf/zgDB5+thiZ8WH462eXI8UPdkiOh4UYkZ9LiQ7Bq59bjmXT4/DNV0/gyy+XoK1ncEK/q3dwGN974yQe/mMx0mJC8dfPLudIGJEPWJg2Ba8/ei2SooLx0B8O4MfvlE+46au1awCfe/4wHttcihtmxOOlf1oGc0SwkxN7D5nMp18RuRvAtwHMBLBEKVV8kcdtAPBzAEYATymlHnfcngHgRQCxAA4BeEApddm/AfLz81Vx8bgvRUQTZLMr/GJnFX5VWI2okAD869oZ+Hh+KoJMxss+d9hmx5vHG/DjdypQ396H+69Jw3/enIfggMs/l4i8R+/gMB7bXIpNh+qQGReGf1+fgw2zEq9oJ3TfoA0vHDiHJ3ZUom/Ihq+sz8HD12b6xS5qETmklMof975JFmIzAdgB/A7Av49XiImIEUAlgLUA6gAcBHCvUuqkiLwM4BWl1Isi8lsAJUqp31zudVmIEblOWUMnHtt8AgfPtCEhMgi3L0jFhtmJyEuKRKDpb4PoNrtClaUL20qb8NfDdTjb0ovcxAh8d+NsLMlgs1YiX7an0orvvF6KGmsPMuPDcNeiVKzKNWOGOeLvCquBYRtO1HfgnRONeOVwPVp6BrEiKxbfuXU2ssy+e37khVxWiI15gSJcvBBbBuDbSqn1jp+/4bjrcQBWAIlKqeELH3cpLMSIXEsphferW/D7909jd6UVNrtCoMmA5KhgRAQHoGdwGA3t/egbskEEWJweg39YkYF1eQl+8emWiEY+jL1ech7P7TuL4rNtAICwQCMSo4IRGmhC98Awalt7MWxXCDAKbphhxiPXZ/rlB7VLFWImN7x+CoDaMT/XAViKkenIdqXU8JjbUy72S0TkEQCPAEBaWpprkhIRAEBEcG12HK7NjkNL9wD2n27F0dp2NHb0o7N/CGlBobhhRjxmJ0dhRVYcEqP8d30Hkb8yGgS3LUjBbQtSUNvaiwOnW3G8vgPWrgH0Dg5jWmwoNsxOxOzkKFybHYeoEP9qS3GlLluIicgOAInj3PVNpdRm50can1LqSQBPAiMjYu56XSJ/FxsehJvmJOEmPzluhIiu3tSYUEyNCcWdi1J1R/E6ly3ElFJrJvka9QCmjvk51XFbC4BoETE5RsVGbyciIiLyC+5oX3EQQLaIZIhIIIB7AGxRI4vTCgHc5XjcgwDcNsJGREREpNukCjERuV1E6gAsA/CmiGx13J4sIm8BgGO061EAWwGUAXhZKVXq+BVfA/BlEanGyJqxpyeTh4iIiMibOGXXpLtx1yQRERF5i0vtmmRnfSIiIiJNWIgRERERacJCjIiIiEgTFmJEREREmrAQIyIiItKEhRgRERGRJizEiIiIiDRhIUZERESkCQsxIiIiIk28srO+iFgBnHXxy8QBaHbxa/gbvqfOxffT+fieOh/fU+fi++l87nhPpyml4se7wysLMXcQkeKLHUdAE8P31Ln4fjof31Pn43vqXHw/nU/3e8qpSSIiIiJNWIgRERERacJC7OKe1B3AB/E9dS6+n87H99T5+J46F99P59P6nnKNGBEREZEmHBEjIiIi0oSF2DhEZIOIVIhItYh8XXcebyYiU0WkUEROikipiHxRdyZfISJGETkiIm/ozuILRCRaRDaJSLmIlInIMt2ZvJmIfMnx//wJEXlBRIJ1Z/I2IvJ7EbGIyIkxt8WIyHYRqXL8OUVnRm9zkff0J47/74+JyKsiEu3OTCzELiAiRgC/AnAjgDwA94pInt5UXm0YwL8ppfIAXAPg83w/neaLAMp0h/AhPwfwjlIqF8A88L2dMBFJAfAFAPlKqdkAjADu0ZvKKz0DYMMFt30dwE6lVDaAnY6f6co9g4++p9sBzFZKzQVQCeAb7gzEQuyjlgCoVkqdUkoNAngRwEbNmbyWUqpBKXXY8X0XRv5yS9GbyvuJSCqAmwE8pTuLLxCRKADXA3gaAJRSg0qpdq2hvJ8JQIiImACEAjivOY/XUUrtAdB6wc0bATzr+P5ZALe5M5O3G+89VUptU0oNO37cByDVnZlYiH1UCoDaMT/XgYWDU4hIOoAFAPZrjuILngDwVQB2zTl8RQYAK4A/OKZ7nxKRMN2hvJVSqh7A/wA4B6ABQIdSapveVD4jQSnV4Pi+EUCCzjA+6B8AvO3OF2QhRm4hIuEA/grgX5VSnbrzeDMRuQWARSl1SHcWH2ICsBDAb5RSCwD0gFM+E+ZYt7QRIwVuMoAwEblfbyrfo0baHrD1gZOIyDcxspzmeXe+Lguxj6oHMHXMz6mO22iCRCQAI0XY80qpV3Tn8QErANwqImcwMnW+SkSe0xvJ69UBqFNKjY7WbsJIYUYTswbAaaWUVSk1BOAVAMs1Z/IVTSKSBACOPy2a8/gEEXkIwC0APqnc3NeLhdhHHQSQLSIZIhKIkQWmWzRn8loiIhhZd1OmlPqp7jy+QCn1DaVUqlIqHSP/fe5SSnG0YRKUUo0AakUkx3HTagAnNUbyducAXCMioY5rwGpw84OzbAHwoOP7BwFs1pjFJ4jIBows9bhVKdXr7tdnIXYBx4K9RwFsxciF42WlVKneVF5tBYAHMDJqc9TxdZPuUETj+BcAz4vIMQDzAfxQbxzv5RhZ3ATgMIDjGPm7hh3hr5KIvADgAwA5IlInIp8B8DiAtSJShZGRx8d1ZvQ2F3lPfwkgAsB2x99Rv3VrJnbWJyIiItKDI2JEREREmrAQIyIiItKEhRgRERGRJizEiIiIiDRhIUZERESkCQsxIiIiIk1YiBERERFpwkKMiIiISJP/D9wtRZF9drqxAAAAAElFTkSuQmCC\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y)\n", + "plt.grid()\n", + "plt.xlabel('time') # x축 라벨 적용하기\n", + "plt.ylabel('Amplitude') # y축 라벨 적용하기\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "8f8b8438", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y)\n", + "plt.grid()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "bf76522a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, np.sin(t))\n", + "plt.plot(t, np.cos(t))\n", + "plt.grid()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "7351425a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, np.sin(t), label='sin')\n", + "plt.plot(t, np.cos(t), label='cos')\n", + "plt.grid()\n", + "plt.legend()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "fa7486aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, np.sin(t), lw=3, label='sin')\n", + "plt.plot(t, np.cos(t), 'r', label='cos')\n", + "plt.grid()\n", + "plt.legend()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.ylim(-1.2, 1.2)\n", + "plt.xlim(0, np.pi)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "ec072aed", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = np.arange(0, 5, 0.5)\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, t, 'r--')\n", + "plt.plot(t, t**2, 'bs')\n", + "plt.plot(t, t**3, 'g^')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "97ac2185", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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vlpaSqjNvS0uzngxg+4ks4Lw5fnxz6wDzTGQBAAwgsgAABhBZAAADiCwAgAFEFnDeLC5ubh1gnu2b9QDA3nHs2KwnADh/vJMFADCAyAIAGEBkAQAMILIAAAYQWQAAA4gsAIABRBYAwAAiCwBgAJEFADCAyAIAGEBkAQAMILIAAAYQWQAAA4gsAIABthxZVXV5VX22qr5WVQ9X1dvXOebVVfW9qnpwcnv3dOMCAMyHfVM89lSSd3b3A1V1UZLDVXWou7+25rg/6e43THEeAIC5s+V3srr7ye5+YLL9/SSPJLl0uwYDAJhn23JNVlXtT/KyJF9YZ/fPVtWXq+oTVfXTz/IcB6tqpapWTp48uR1jAQDMzNSRVVXPS/KxJO/o7qfX7H4gyYu7+5okv53kDzZ6nu6+o7uXu3t5YWFh2rFgLi0tJVVn3paWZj0ZAJs1VWRV1YU5HVgf7u6Pr93f3U939w8m2/clubCqLp7mnLCbHT++uXUAdq5pfruwktyZ5JHuft8GxyxNjktVHZic7ztbPScAwLyY5rcLX5nkzUm+WlUPTtb+VZIrkqS7b0/ypiS/UlWnkvxlkpu7u6c4JwDAXNhyZHX355LUWY65LcltWz0HAMC88o3vAAADiCzYQRYXN7cOwM41zTVZwDY7dmzWEwCwXbyTBQAwgMgCABhAZAEADCCyAAAGEFkAAAOILACAAUQWAMAAIgsAYACRBQAwgMgCABhAZDFXlpaSqjNvS0uzngwAfpzIYq4cP765dQCYFZEFADCAyAIAGEBkAQAMILIAAAYQWcyVxcXNrQPArOyb9QCwGceOzXoCADg33skCABhAZAEADCCyAAAGEFm7iD85AwA7h8jaRfzJGQDYOUQWAMAAIgsAYICpIquqrq+qb1TVY1X1rnX2//Wq+uhk/xeqav8055uWa5YAgPNly5FVVRckeX+SG5JcneSWqrp6zWFvSfLd7v6pJL+V5N9t9XzbwTVLAMD5Ms07WQeSPNbdj3f3D5N8JMlNa465KcmHJtu/n+TnqqqmOCfPwp+cAYCdY5rIujTJE6vuH5msrXtMd59K8r0kP7Hek1XVwapaqaqVkydPTjHW3nXsWNJ95s2fogGA82/HXPje3Xd093J3Ly8sLMx6HACAqUwTWUeTXL7q/mWTtXWPqap9Sf5Wku9McU4AgLkwTWR9KcmVVfWSqnpOkpuT3LvmmHuT3DrZflOSP+7unuKcU3HNEgBwvuzb6gO7+1RVvS3Jp5JckOSu7n64qt6bZKW7701yZ5Lfq6rHkjyV0yE2M65NAgDOly1HVpJ0931J7luz9u5V2/8nyT+a5hwAAPNox1z4DgCwm4gsAIABRBYAwAAiCwBgAJEFADCAyAIAGEBkAQAMILIAAAYQWQAAA9QM/5TghqrqZJJvDT7NxUm+PfgcjOU1nG9ev/nnNZx/XsPt8eLuXli7uCMj63yoqpXuXp71HGyd13C+ef3mn9dw/nkNx/JxIQDAACILAGCAvRxZd8x6AKbmNZxvXr/55zWcf17DgfbsNVkAACPt5XeyAACG2XORVVXXV9U3quqxqnrXrOdh86rqrqo6UVUPzXoWNq+qLq+qz1bV16rq4ap6+6xnYnOq6m9U1Rer6suT1/DfznomNq+qLqiq/1FV/33Ws+xWeyqyquqCJO9PckOSq5PcUlVXz3YqtuCDSa6f9RBs2akk7+zuq5O8Islb/e9w7vzfJK/t7muSXJvk+qp6xWxHYgvenuSRWQ+xm+2pyEpyIMlj3f14d/8wyUeS3DTjmdik7r4/yVOznoOt6e4nu/uByfb3c/pf8pfOdio2o0/7weTuhZObC3znSFVdluTvJ/nArGfZzfZaZF2a5IlV94/Ev9xhZqpqf5KXJfnCjEdhkyYfNT2Y5ESSQ93tNZwv/yHJryb5qxnPsavttcgCdoiqel6SjyV5R3c/Pet52Jzu/lF3X5vksiQHquqlMx6Jc1RVb0hyorsPz3qW3W6vRdbRJJevun/ZZA04j6rqwpwOrA9398dnPQ9b191/nuSzcZ3kPHllkjdW1Tdz+rKZ11bVf57tSLvTXousLyW5sqpeUlXPSXJzkntnPBPsKVVVSe5M8kh3v2/W87B5VbVQVc+fbP/NJK9P8vWZDsU56+5f6+7Lunt/Tv//4B939z+b8Vi70p6KrO4+leRtST6V0xfb/tfufni2U7FZVXV3ks8nuaqqjlTVW2Y9E5vyyiRvzun/en5wcrtx1kOxKZck+WxVfSWn/+P1UHf7GgBYwze+AwAMsKfeyQIAOF9EFgDAACILAGAAkQUAMIDIAgAYQGQBAAwgsgAABhBZAAAD/D9w6aq1StX3MgAAAABJRU5ErkJggg==\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = np.arange(0, 5, 0.5)\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "pl1 = plt.plot(t, t**2, 'bs')\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "pl2 = plt.plot(t, t**3, 'g^')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "04e84997", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = [0, 1, 2, 3, 4, 5, 6] \n", + "y = [1, 4, 5, 8, 9, 5, 3]\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "5ea8160d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green', linestyle='dashed', marker='o',\n", + " markerfacecolor = 'blue')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "bed08e97", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green', linestyle='dashed', marker='o',\n", + " markerfacecolor = 'blue', markersize=12)\n", + "\n", + "plt.xlim([-0.5, 6.5])\n", + "plt.ylim([0.5, 9.5])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "id": "4f115ba9", + "metadata": {}, + "outputs": [], + "source": [ + "t = np.array([0,1,2,3,4,5,6,7,8,9])\n", + "y = np.array([9,8,7,9,8,3,2,4,3,4])" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "id": "2da4a5d9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "colormap = t\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.scatter(t,y, s = 50, c = colormap, marker='>')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "bc78a17a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "colormap = t\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.scatter(t,y, s = 50, c = colormap, marker='>')\n", + "plt.colorbar()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "476027c2", + "metadata": {}, + "outputs": [], + "source": [ + "s1 = np.random.normal(loc=0, scale=1, size=1000)\n", + "s2 = np.random.normal(loc=5, scale=0.5, size=1000)\n", + "s3 = np.random.normal(loc=10, scale=2, size=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "id": "864370ee", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(s1, label='s1')\n", + "plt.plot(s2, label='s2')\n", + "plt.plot(s3, label='s3')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "206f6f5e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.boxplot((s1, s2, s3))\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "b1f1339c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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S1lrKdrV+acRqVXk97d4J7KlxEUzITeIbE7OZkNuPcbmJWiBURCQAKGyJBKjGtk5WlNWzrLSOpds84aq6qR2AyLAQxmQncvGRA3ePWunMQBGRwKSwJRIArLVsrWlh8dZdLN62iyVbd7G+onH3hZgHpcUybVgqE3OTmJDbjxFZ8VokVEQkSChsiTigrdPFyvJ6T7ja6glXNd5J7PGRYUwc2I+ZYzKZOKAfE3KSSIzR4UARkWClsCXSAyob2nYHq0Vbd7F6ez2dLs+wVX5qLIXD05k8sB+TB/ZjaHrcV5ZdEBGR4KWwJeJjXS4363Y2smTbrt0Bq2xXK+CZazU+J4mrjh3E5IH9mDQgiZS4SIcrFhERf1LYEjlMbZ0uVpTVs3BLLZ9trmXJ1l27FwxNj4+kIK8flx+dR0FeMqOyErT0gohIH6OwJXKQmtq7WLx1Fws217Bw8y6WldXtvn7gsIw4zp7YnyPykpk8sB/ZSTpDUESkr1PYEvkaNU3tLNyyiwWba1m4pZbV2+txWwgNMYzpn8BlRw3kiLxkjshLpl9shNPliohIgFHYEtnL9rpWPttcw4LNu1i4pZbiyibAM99q4oAkrps+hCn5KUwckERspH6ERETkwPSbQvq8yoY25pfUMH9TDfNLatha0wJ4lmAoyOvHNyZlMzU/mTHZiUSGhTpcrYiIBBuFLelzapra+bSklvkl1czfVMMm77UE46PCmJqfzKVH5TE1P5mRWQmEagkGERE5TApb0uvVtXTwaUktn3pHr9ZXNAIQGxHKEfnJnF+Qy1GDUxjdP1HhSkREfE5hS3qd5vYuPttcwyfFnsOCa3Y0YC1EhYdQMDCZsyb056jBKYzNTtQlb0RExO8UtiToudyWFWV1fLSxmg+Lq1mydRddbktEqGdC+w9PGMZRg1MYn6s5VyIi0vMUtiQobatpYd7GKj7aWM0nm6ppaPMsIjq6fwJXHZfPcUPSKMjrR1S4wpWIiDjLJ2HLGPMQcAZQaa0ds4/3DXAPcBrQAlxurV3ii7alb6hv6eSTTZ6Rq482VrOt1nPGYP/EKGaOyeTYoWkcMzhFl74REZGA46uRrUeAfwCP7ef9U4Gh3ttU4F7vvcg+ud2WFeX1FK2vpGh9FSvK6nBbz6T2owancNWx+Rw7NJVBqbFaoV1ERAKaT8KWtXaeMSbvAJvMAh6z1lrgU2NMkjEmy1q7wxftS++wq7mDeRurmLOijRs/fJfa5g6MgfE5SVw3YyjHDU1lQm6SJrWLiEhQMZ7844MP8oStV/dzGPFV4HZr7Ufe5+8BP7XWLtpru9nAbICMjIzJc+bM8UltB9LU1ERcXJzf25GvclvL1gY3K6pcrKhyUVLvxgJxYZax6WGMSw1jTGoo8REauQoE+lkJTOqXwKM+CUz+7pfp06cvttYW7Ou9gJogb629H7gfoKCgwBYWFvq9zaKiInqiHfGob+1k3oYq5q6vZN6GKqqbPKNX43KSuL4gjekj0qktXsqM6dOdLlX2op+VwKR+CTzqk8DkZL/0VNgqB3L3eJ7jfU36gNLaFt5ZU8G7aytYsLmWLrclKSacaUPTmD4ijWlD0740sb1ok0ayRESk9+ipsPUKcJ0xZg6eifH1mq/Ve30+uf1db8Bat9OzYvvQ9DiumTaIE0emMyG3n1ZrFxGRPsFXSz88BRQCqcaYMuBWIBzAWvtv4HU8yz4U41n64QpftCuBo63TxSebqr0jWJVUNbYTGmI4Iq8fvzx9JCeOzCAvNdbpMkVERHqcr85GvOhr3rfAtb5oSwJHY1sn76+r5I2VO/lgQxWtnS7iIsM4flgaJ45KZ/rwdJJiIpwuU0RExFEBNUFeAl9dSwfvrKngzVU7+XBjNR0uN+nxkZw3OYeTRmUwdVCyLokjIiKyB4Ut+Vo1Te28vaaC11fuYP6mGrrcluykaC45aiCnjslk0oB+hGj+lYiIyD4pbMk+1TS18/qqnby+Ygefba7BbWFgSgxXHzeIU8dkMi4nUSu3i4iIdIPCluzW2NbJ26sreGX5dj4qrsbltgxOi+Xa6UM4dUwWI7PiFbBEREQOksJWH9fW6WLuukpeWb6d99dV0t7lJjspmtnTBnHW+P6MyFTAEhERORwKW32Qy235uLial5dt563VO2lq7yI1LpKLpgzgzPH9mTQgSQFLRETERxS2+pDiykaeW1zOi0vLqGhoJz4qjFPHZHLWhP4cNSiFMF3gWURExOcUtnq5+pZOXlmxnecWl7G8tI7QEEPhsDRuPTOHGSPSiQrXMg0iIiL+pLDVC7nclnkbqnhucRnvrKmgw+VmRGY8vzx9JLMmZJMWH/n1HyIiIiI+obDVi+ysb+PphaU8vXAb2+vbSI6N4FtTB3De5BxG90/QPCwREREHKGwFOZfbMm9jFU9+to3311XicluOG5rKL88YxYkjM4gI0zwsERERJylsBamKhjaeWVjKnIWllNe1khIbwTXHDeKiKbkMTNEFn0VERAKFwlaQWbJtFw9/vIU3Vu6gy205enAKt5w2gpNHZWoUS0REJAApbAWBTpebN1bt5KGPNrOstI74yDAuOzqPi48cSH6qRrFEREQCmcJWANvV3MGTC7bx3/lb2dnQRl5KDL89azTnTs4hLlJdJyIiEgz0GzsAle1q4f55JTyzqJS2TjfHDknl/74xhsJh6YSE6IxCERGRYKKwFUA2VjRy7webeGXZdoyBcyZmc9WxgxieGe90aSIiInKIFLYCwLLSOv41t5i311QQHR7KpUflcc20fLISo50uTURERA6TwpaDVpTVcefbG/hgQxUJUWFcf8JQLj86j+TYCKdLExERER9R2HLA2h0N3P3OBt5eU0FSTDg/nTmCS44aqEnvIiIivZBPfrsbY2YC9wChwAPW2tv3ev9y4M9Aufelf1hrH/BF28Fkc3Uzd769nldX7CA+MowbTxrGFcfkER8V7nRpIiIi4ieHHbaMMaHAP4GTgDJgoTHmFWvtmr02fdpae93htheM6lo6+Nt7xTw2fwsRYSFcN30I1xw3iMQYhSwREZHezhcjW1OAYmttCYAxZg4wC9g7bPU5HV1uHv90K/e8t5HGtk4uOCKXH500jPT4KKdLExERkR5irLWH9wHGnAfMtNZe7X1+CTB1z1Es72HEPwJVwAbgR9ba0n181mxgNkBGRsbkOXPmHFZt3dHU1ERcXJzPP3d5VRdPru2gosUyOiWEC0dEkhuvy+l0h7/6RA6P+iUwqV8Cj/okMPm7X6ZPn77YWluwr/d6akb2/4CnrLXtxpjvAI8CM/beyFp7P3A/QEFBgS0sLPR7YUVFRfiynZ31bfz2f6t5Y9VOBqXF8tD5I5k+PB1jtBhpd/m6T8Q31C+BSf0SeNQngcnJfvFF2CoHcvd4nsMXE+EBsNbW7PH0AeAOH7QbUFxuy2Pzt3Dn2xvodLn58cnDmD1tsC4OLSIi0sf5ImwtBIYaY/LxhKwLgW/tuYExJstau8P79CxgrQ/aDRglVU3c+MxylpXWMW1YGr+fNZqBKbpAtIiIiPggbFlru4wx1wFv4Vn64SFr7WpjzO+ARdbaV4DrjTFnAV1ALXD54bYbCKy1PP7pVv7w+loiw0K558IJnDW+vw4ZioiIyG4+mbNlrX0deH2v1369x+NbgFt80Vag2Fnfxk+eW86HG6uZNiyNO84dR2aizjIUERGRL9OS5Yfg4+JqfvDUUlo7XPz+7DFcPHWARrNERERknxS2DoLbbbn3g03c+fZ6BqfFce93JjMkXaf3ioiIyP4pbHVTa4eLG+Ys5e01FZw1vj9//MZYYnUtQxEREfkaSgvdUN3UzlWPLmJlWR2/PmMUVxyTp8OGIiIi0i0KW19jc3Uzlz20gMrGNv598WROHp3pdEkiIiISRBS2DmBjRSMX/ecz3Nby1DVHMnFAP6dLEhERkSCjsLUfxZWeoGUMPDP7KE2EFxERkUOia8nsw476Vr79gCdoPXXNkQpaIiIicsgUtvbS1N7FlY8sorndxWNXTlHQEhERkcOiw4h7sNbywzlL2VDRyEOXH8HIrASnSxIREZEgp5GtPTz+6VbeXVvJL08fyfHD0pwuR0RERHoBhS2vTVVN/OH1tRw/LI3Lj85zuhwRERHpJRS28FyG58ZnlhMdHsqfzxunBUtFRETEZxS2gJeXl7O8tI5fnTGK9IQop8sRERGRXqTPhy2X2/KXtzYwJjuBsydkO12OiIiI9DJ9PmwtrXRRXtfKddOHEhKiw4ciIiLiW30+bL23rZPspGhOHJnudCkiIiLSC/XpsNXe5WL9LjdnTehPWGif/laIiIiIn/TphFFc2YTbwigtXioiIiJ+0qfD1vqdjQCMyIx3uBIRERHprXwStowxM40x640xxcaYn+3j/UhjzNPe9z8zxuT5ot3DtX5nI2EG8lJjnS5FREREeqnDDlvGmFDgn8CpwCjgImPMqL02uwrYZa0dAtwN/Olw2/WFdTsbyYoLIVzztURERMRPfJEypgDF1toSa20HMAeYtdc2s4BHvY+fA04wAbBM+/qdjeTEO16GiIiI9GJhPviMbKB0j+dlwNT9bWOt7TLG1AMpQPWeGxljZgOzATIyMigqKvJBefvmtpbxyV1kR3X5tR05eE1NTeqTAKR+CUzql8CjPglMTvaLL8KWz1hr7wfuBygoKLCFhYV+bW/GdCgqKsLf7cjBUZ8EJvVLYFK/BB71SWBysl98cRixHMjd43mO97V9bmOMCQMSgRoftC0iIiIS0HwRthYCQ40x+caYCOBC4JW9tnkFuMz7+DzgfWut9UHbIiIiIgHtsA8jeudgXQe8BYQCD1lrVxtjfgcssta+AjwI/NcYUwzU4glkIiIiIr2eT+ZsWWtfB17f67Vf7/G4DfimL9oSERERCSYmUI/mGWOqgK090FQqe50VKY5TnwQm9UtgUr8EHvVJYPJ3vwy01qbt642ADVs9xRizyFpb4HQd8gX1SWBSvwQm9UvgUZ8EJif7RUuni4iIiPiRwpaIiIiIHylseRdRlYCiPglM6pfApH4JPOqTwORYv/T5OVsiIiIi/qSRLRERERE/UtgSERER8aM+G7aMMTONMeuNMcXGmJ85XY+AMeYhY0ylMWaV07XIF4wxucaYucaYNcaY1caYG5yuqa8zxkQZYxYYY5Z7++S3TtckXzDGhBpjlhpjXnW6FvEwxmwxxqw0xiwzxizq8fb74pwtY0wosAE4CSjDc33Hi6y1axwtrI8zxkwDmoDHrLVjnK5HPIwxWUCWtXaJMSYeWAycrZ8X5xhjDBBrrW0yxoQDHwE3WGs/dbg0AYwxNwIFQIK19gyn6xFP2AIKrLWOLDbbV0e2pgDF1toSa20HMAeY5XBNfZ61dh6ea2dKALHW7rDWLvE+bgTWAtnOVtW3WY8m79Nw763v/eUcgIwxOcDpwANO1yKBo6+GrWygdI/nZeiXh8jXMsbkAROBzxwupc/zHqpaBlQC71hr1SeB4a/AzYDb4TrkyyzwtjFmsTFmdk833lfDlogcJGNMHPA88ENrbYPT9fR11lqXtXYCkANMMcbo0LvDjDFnAJXW2sVO1yJfcay1dhJwKnCtd9pKj+mrYascyN3jeY73NRHZB++8oOeBJ6y1Lzhdj3zBWlsHzAVmOlyKwDHAWd75QXOAGcaYx50tSQCsteXe+0rgRTzTiXpMXw1bC4Ghxph8Y0wEcCHwisM1iQQk72TsB4G11tq7nK5HwBiTZoxJ8j6OxnOyzzpHixKstbdYa3OstXl4fq+8b6292OGy+jxjTKz35B6MMbHAyUCPnvXeJ8OWtbYLuA54C89k32estaudrUqMMU8B84HhxpgyY8xVTtckgOev9Uvw/JW+zHs7zemi+rgsYK4xZgWePx7fsdZqmQGRfcsAPjLGLAcWAK9Za9/syQL65NIPIiIiIj2lT45siYiIiPQUhS0RERERP1LYEhEREfEjhS0RERERP1LYEhEREfEjhS0RERERP1LYEhEREfEjhS0RERERP1LYEhEREfEjhS0RERERP1LYEhEREfEjhS0RERERPwpzuoD9SU1NtXl5ed3evrm5mdjYWP8V5Cequ+cFa+19oe7FixdXW2vT/FxSjziYfViw9i0Eb+2qu2f1hboPuP+y1gbkbfLkyfZgzJ0796C2DxSqu+cFa+19oW5gkQ2A/Y8vbgezDwvWvrU2eGtX3T2rL9R9oP2XTw8jGmNyjTFzjTFrjDGrjTE3eF//jTGm3BizzHs7zZftioiIiAQqXx9G7AJustYuMcbEA4uNMe9437vbWvsXH7cnIiIiEtB8GrastTuAHd7HjcaYtUC2L9sQERERCSZ+OxvRGJMHTAQ+8750nTFmhTHmIWNMP3+1KyKBoba5g8seWsDOZrfTpYiIHLT/e30t727t9Mln+eVsRGNMHPA88ENrbYMx5l7g94D13t8JXLmPr5sNzAbIyMigqKio2202NTUd1PaBQnX3vGCtPZjqbu+y/GlhG9sa3UyMtEFTt4gIwPLSOv7zYQknD/RNTPJ52DLGhOMJWk9Ya18AsNZW7PH+f4BX9/W11tr7gfsBCgoKbGFhYbfbLSoq4mC2DxSqu+cFa+3BUneny83sxxaxpaGFf317MlHV6wKubmPMQ8AZQKW1doz3tT8DZwIdwCbgCmttnfe9W4CrABdwvbX2LSfqFhH/c7ktv3p5FalxkZw9JNQnn+nrsxEN8CCw1lp71x6vZ+2x2TnAKl+2KyKBwVrLz19Yydz1Vfz+7DHMHJPpdEn78wgwc6/X3gHGWGvHARuAWwCMMaOAC4HR3q/5lzHGN3tgEQk4Ty3Yxoqyen5x2kiiw4xPPtPXc7aOAS4BZuy1zMMdxpiVxpgVwHTgRz5uV0QCwJ/fWs+zi8u44YShfHvqQKfL2S9r7Tygdq/X3rbWdnmffgrkeB/PAuZYa9uttZuBYmBKjxUrIj2msrGNP725jqMHpzBrQn+ffa6vz0b8CNhXDHzdl+2ISOB54MMS/lW0iYumDOCHJw51upzDdSXwtPdxNp7w9bkydJa1SK/0h9fW0t7p5vdnj8FzsM43AvZyPSISPJ5ZVMptr63l9LFZ3ObjnVRPM8b8As+agU8cwtce0kk+wXTyw96CtXbV3bOCoe7V1S5eXtbGrMHhlK5eRCm+q1thS0QOy1urd/Kz51dw3NBU7rpgPKEhQR20Lsczcf4E7+U3AMqB3D02y/G+9hWHepJPsJz8sC/BWrvq7lmBXndbp4vf3vMheSkx/OnyaUSFe6Zl+qpuv62zJSK93yebqvnBk0sZn5vEvy+eTGRY8M4bN8bMBG4GzrLWtuzx1ivAhcaYSGNMPjAUWOBEjSLiH/cWbWJzdTO/P3vM7qDlSxrZEpFDsqKsjmseXUReagwPX34EsZHBszsxxjwFFAKpxpgy4FY8Zx9GAu94D4N+aq39rrV2tTHmGWANnsOL11prXc5ULiK+VlLVxL1FmzhrfH+OG5rmlzaCZ+8oIgGjuLKRyx5aQL/YCP571VSSYiKcLumgWGsv2sfLDx5g+z8Af/BfRSLiBGstv3xpFZHhIfzyjJF+a0eHEUXkoJTXtXLJgwsIDQnh8aumkpEQ5XRJIiKH5OVl2/lkUw03nzKc9Hj/7csUtkSk26qb2rnkgc9oau/isSunkJca63RJIiKHpLa5g9+/uobxOYl8y8/rAuowooh0S0NbJ5c/vIDt9a3896qpjOqf4HRJIiKH7Hf/W019aydPXDPV72dRa2RLRL5Wc3sXVzy8kHU7GvnXtydxRF6y0yWJiByy99dV8NKy7Xx/+hBGZPr/D0eFLRE5oLZOF9c8toil23bxt4smMmNEhtMliYgcssa2Tn7x4iqGpsdx7fTBPdKmDiOKyH61d7n47uOLmV9Sw13nj+e0sVlf/0UiIgHsT2+uY2dDG89/7+geWxtQI1sisk9dLjfXP7WUovVV/OHssZwzMefrv0hEJIB9WlLD459u48pj8pk0oF+PtauwJSJf4XJbbnp2OW+truDXZ4ziW1MHOF2SiMhhaet08bPnV5CbHM1NJw/r0bZ1GFFEvsTttvz8hZW8vGw7N88czpXH5jtdkojIYbv73Q1sqWnhiaunEhPRs/FHI1sispu1lt/+bzVPLyrl+hlD+H7hEKdLEhE5bMtL6/jPvBIuPCKXY4ak9nj7ClsiAniC1u1vrOPR+VuZPW0QPzqpZ4fZRUT8oa3TxY3PLCM9PopbTvPfJXkORIcRRQRrLXe/s4H75pVwyZEDueXUEXgvxiwiEtT+/NZ6NlU189iVU0iMDnekBp+PbBljco0xc40xa4wxq40xN3hfTzbGvGOM2ei977nTAERkv6y13P3uRv72fjEXFOTy27NG9/qgZYx5yBhTaYxZtcdr+9xHGY+/GWOKjTErjDGTnKtcRA7GpyU1PPTxZi4+cgDThqU5Voc/DiN2ATdZa0cBRwLXGmNGAT8D3rPWDgXe8z4XEQftDlrvbeT8ghz++I2xhPj5shUB4hFg5l6v7W8fdSow1HubDdzbQzWKyGFoau/ix88uZ0ByDD936PDh53wetqy1O6y1S7yPG4G1QDYwC3jUu9mjwNm+bltEum/voHX7N8b1laCFtXYeULvXy/vbR80CHrMenwJJxhit7ioS4G57dQ3lda3c+c3xPX724d6MtdZ/H25MHjAPGANss9YmeV83wK7Pn++x/Ww8fzmSkZExec6cOd1uq6mpibi4OJ/U3ZNUd88L1tp9Wbe1lpeKO3l5UyfHZYdxxZgIQvx06PBg6p4+ffpia22BXwrZi3f/9Kq1doz3ed2+9lHGmFeB2621H3nfew/4qbV20T4+85D2YcH6fxKCt3bV3bN6uu5llV38dUk7p+WHc/7wiEP+HJ/tv6y1frkBccBi4Bve53V7vb/rQF8/efJkezDmzp17UNsHCtXd84K1dl/V7Xa77Z1vr7cDf/qq/cmzy6zL5fbJ5+7PwdQNLLJ+2iftfQPygFV7PN/nPgp4FTh2j9ffAwq+7vMPZh8WrP8nrQ3e2lV3z+rJumub2m3Bbe/Yk+/6wLZ1dh3WZ/lq/+WXpR+MMeHA88AT1toXvC9XfD707r2v9EfbIrJ/tg8fOuyG/e2jyoHcPbbL8b4mIgHGWssvX17FruYO7jx/fI9d+/Dr+ONsRAM8CKy11t61x1uvAJd5H18GvOzrtkVk/xS0vtb+9lGvAJd6z0o8Eqi31u5wokARObDnl5Tz2ood/PDEoYzJTnS6nN38MWPsGOASYKUxZpn3tZ8DtwPPGGOuArYC5/uhbRHZB2stf3l7Pf+cu0lBCzDGPAUUAqnGmDLgVva/j3odOA0oBlqAK3q8YBH5Wpurm/n1y6uYmp/M9wLs6hc+D1vWM4l0f3vxE3zdnogcmLWW37+6loc+3sxFU3L5w9l9ZnmH/bLWXrSft76yj/LOxbjWvxWJyOHo6HJzw5ylhIeGcPcFEwgNsH2cVpAX6cXcbs/8hSc/28blR+dx65mjev2CpSLS99z1zgZWlNXz74sn0T8p2ulyvkJhS6SX6nK5ufn5FbywpJzvFQ7m5lOGK2iJSK/zcXE1983bxEVTBjBzTGAugaewJdILdbrc/PDpZby2Ygc3njSMH8wYoqAlIr1ObXMHP3p6GYNSY/nVGc6uEn8gClsivUx7l4trn1jKu2sr+PlpI5g9bbDTJYmI+Jy1lpufW0FdSycPX3GE46vEH0jgViYiB621w8Xs/y7iw43V/G7WaC49Ks/pkkRE/OKx+Vt5d20FvzpjFKP7B84yD/uisCXSSzS1d3H1owv5bHMtd5w7jvOPyP36LxIRCULLS+u47bU1zBiRzhVH5zldztdS2BLpBWqbO7j84QWs3t7AXy+YwKwJ2U6XJCLiF/UtnXz/iSWkx0dx1/njg2IpG4UtkSC3va6VSx78jLJdrdx38WROHJXhdEkiIn5hreWmZ5dR2djGM985iqSYQ7/IdE9S2BIJYpuqmrjkgc9obOvisSunMHVQitMliYj4zX8+LOHdtZXceuYoJg7o53Q53aawJRKkVpbVc9nDCwgx8NTsIwPqOmAiIr62aEstf3pzPaeOyeTyIJintSeFLZEgNH9TDdc8tojE6HAev3oq+amxTpckIuI3NU3tXPfkUnL6RfOn88YF3bqBClsiQeat1Tv5wVNLGZgcw2NXTSErMfAuTSEi4itdLjc/eGoptS0dvPC9o0mICne6pIMW4nQBItJ9zy4q5XuPL2ZkVgLPfOcoBS0/MMb8yBiz2hizyhjzlDEmyhiTb4z5zBhTbIx52hgTHLNyRXqBP725jk821fCHs8cE7XQJhS2RIGCt5dWSDn7y3AqOHpzKk1dPpV+sft/7mjEmG7geKLDWjgFCgQuBPwF3W2uHALuAq5yrUqTveHlZOf/5cDOXHTWQbxYE79qBClsiAc7ltvzq5VU8t6GTM8f358HLC4iN1AwAPwoDoo0xYUAMsAOYATznff9R4GxnShPpO9Zsb+Cnz69gSl4yvzxjlNPlHBbtsUUCWFuni+ufWsrbayo4NT+cey6YEBQL+AUra225MeYvwDagFXgbWAzUWWu7vJuVAftcNdYYMxuYDZCRkUFRUVG32m1qaur2toEmWGtX3T3rYOtu6rD8dn4r0SHw7fw2Pv5wnv+KO1AdPvp+K2yJBKja5g6ufnQhS0vr+M2Zo8jr3Kqg5WfGmH7ALCAfqAOeBWZ29+uttfcD9wMUFBTYwsLCbn1dUVER3d020ARr7aq7Zx1M3S635fKHF1Df0cbT3znS0fW0fPX99vlhRGPMQ8aYSmPMqj1e+40xptwYs8x7O83X7Yr0JttqWjjv3k9Ytb2Bf31rEpcfk+90SX3FicBma22VtbYTeAE4BkjyHlYEyAHKnSpQpLe74811fLixmt+fPTqoFi49EH/M2XqEff8leLe1doL39rof2hXpFVaW1fONez+mprmDJ6+eyqljs5wuqS/ZBhxpjIkxnoV8TgDWAHOB87zbXAa87FB9Ir3aM4tKuW9eCZccOZALjhjgdDk+4/OwZa2dB9T6+nNF+oKi9ZVccP98IsNCef57R1GQl+x0SX2KtfYzPBPhlwAr8ewj7wd+CtxojCkGUoAHHStSpJf6tKSGX7y4kuOGpnLrmcE9IX5vPTln6zpjzKXAIuAma+2uvTc41Mml0HcmDQaKYK0bArf297d18vjaDnLiQrhxApStWUzZmi/eD9S6v06w1W2tvRW4da+XS4ApDpQj0idsrWnmu48vJjc5hn98axJhob1rsYSeClv3Ar8HrPf+TuDKvTc61Mml0DcmDQaSYK0bAq92l9ty22treGzNFmaMSOdvF00kbh9LOwRa3d0VrHWLSM+ob+3kykcWAvDQZUeQGB18K8R/nR4JW9bais8fG2P+A7zaE+2KBLqm9i5ueGop762r5Mpj8vnF6SMJ1RmHItJHdLncXPfkErbWtPDfq6aS10uv89ojYcsYk2Wt3eF9eg6w6kDbi/QF2+taufKRhWysbOK2s8dw8ZEDnS5JRKTHWGv5zf9W8+HGav507liOGpzidEl+4/OwZYx5CigEUo0xZXjmPhQaYybgOYy4BfiOr9sVCSbLS+u4+rFFtHW4ePjyI5g2LM3pkkREetS9H2zi8U+38Z1pg3rVmYf74vOwZa29aB8v68wdEa/XV+7gxmeWkRYfyZNXT2VoRrzTJYmI9KgXl5Zxx5vrOXN8f346c4TT5fidVpAX6SHWWv5VtIk/v7WeyQP7cf8lk0mJi3S6LBGRHvVxcTU3P7eCowal8JdvjusTV8ZQ2BLpAS0dXdz83ApeXbGDWRP686dzxxEVHup0WSIiPWrN9ga+89/FDEqN49+XTCYyrG/sBxW2RPystLaF2f9dzLqdDdxy6ghmTxuEZ3FyEZG+o7yulSseWUB8VBiPXNk7l3jYH4UtET+av6mGa59cQqfLzcOXH0Hh8HSnSxIR6XGNHZbLHlpAS4eL5757NFmJ0U6X1KMUtkT8wFrLY/O38rtX15CfGst/Li0gv5euHyMiciCNbZ3cuaiNHS3w2JVTGJ7Z904KUtgS8bH2Lhe/fmk1Ty8q5cSR6dx9wQTio/rOcLmIyOfaOl1c9egiShvdPHDZEUwd1HvX0joQhS0RH6psaOO7jy9mybY6rp8xhB+eOKxPnGnTmxhjkoAHgDF41ga8ElgPPA3k4Vkr8Px9Xd9VRL7Q6XLz/SeWsHBLLd8ZF8n0EX13GkXvutKjiIMWbK7l9L9/xNodjfzr25O48eThClrB6R7gTWvtCGA8sBb4GfCetXYo8J73uYjsh8ttuemZ5by/rpLbzh7DkVl9e2xHYUvkMFlreeDDEi76z6fERYbx4rVHc9rYLKfLkkNgjEkEpuFdiNla22GtrQNmAY96N3sUONuJ+kSCgbWWX728ileWb+enM0fw7am6FFnfjpoih6mxrZObn1vBG6t2MnN0Jn/+5jjNzwpu+UAV8LAxZjywGLgByNjj+q47gQyH6hMJaNZabn1lNU9+to3vFQ7me4WDnS4pIChsiRyi9Tsb+d7ji9la28IvThvJ1cfla/2s4BcGTAJ+YK39zBhzD3sdMrTWWmOM3dcXG2NmA7MBMjIyKCoq6lajTU1N3d420ARr7arb96y1PLmug3e2djEzL4wpkTsoKtoJBHbdB+KruhW2RA7BS0vLueWFlcRFhfHk1VP77Bk2vVAZUGat/cz7/Dk8YavCGJNlrd1hjMkCKvf1xdba+4H7AQoKCmxhYWG3Gi0qKqK72waaYK1ddfuWtZbbXlvLO1s3c+Ux+fzqjJFf+uMzUOv+Or6qW3O2RA5CW6eLX720ih8+vYyx2Ym89oNjFbR6EWvtTqDUGDPc+9IJwBrgFeAy72uXAS87UJ5IQLLW8sc31vHgR5u5/Oi8rwQt0ciWSLeVVDVx3ZNLWbOjgdnTBvGTU4YTHqq/V3qhHwBPGGMigBLgCjx/mD5jjLkK2Aqc72B9IgHDWsvtb67j/nklXHrUQG49c5SC1j4obIl0wwtLyvjlS6uIDAvhwcsKOGGk5kf3VtbaZUDBPt46oYdLEQlobrfld6+u4ZFPtnDxkQP47VmjFbT2Q2FL5ACa27v49cureX5JGVPyk7nnwgl97ppeIiJ7c7ktP39hJU8vKuWqY/P55ek6dHggClsi+7FmewPXPbWEzdXNXH/CUK6fMYQwHTYUkT6u0+XmpmeW88ry7Vw/Ywg/OmmYgtbX8HnYMsY8BJwBVFprx3hfS0aXupAgYa3l8U+38vvX1pIUHc4TV0/l6MGpTpclIuK49i4X1z25lHfWVPDTmSO0jlY3+ePP9EeAmXu9pktdSFCoaWrnmscW86uXV3P04BRev+E4BS0RETzTKq5+dBHvrKngt2eNVtA6CD4f2bLWzjPG5O318iyg0Pv4UaAI+Kmv2xY5HHPXVfKT51bQ0NrJL08fyZXH5OvahiIieP4QvfKRhawsr+eO88ZxfkGu0yUFlZ6as9WtS10c6urLoNVpe1qw1g1frb3dZXl6XQfvl3aRE2e44cgocl3bmDdvm3NF7kOwfs+DtW4R8dhW08KlD33Gjvo27rukgJNG6Wzsg9XjE+QPdKmLQ119GbQ6bU8L1rrhy7WvKKvjh3OWUVLdxTXH5XPTycOJCg91tsD9CNbvebDWLSKwqryeyx9eSJfbzZPXTGXywGSnSwpKPRW2unWpC5Ge4nJb7i0q5q/vbiQtPpInr57K0UM0N0tE5HMfF1fznf8uJiEqjDmzj2JIerzTJQWtngpbn1/q4nZ0qQtx2I4mN+ffN5/FW3dx5vj+3DZrDIkx4U6XJSISMJ5dVMrPX1zJoNQ4Hr1yCpmJUU6XFNT8sfTDU3gmw6caY8qAW/GELF3qQhzlclse+mgzd3zSSkxkF/dcOIFZE7KdLktEJGC43ZY/v72ee4s2ccyQFP717ckkRuuP0cPlj7MRL9rPW7rUhThmU1UTP3l2OUu21TExPZT7rp5GeoL+UhMR+Vxrh4sfPb2MN1fv5KIpA/jdrNG6/quPaAV56dVcbsuDH5Vw59sbiAoP5a8XTCCxboOClojIHioa2rj60UWs2l7PL08fyVXH5mtVeB9S2JJeq7iyiZ88t5yl2+o4cWQG/3fOGNIToigq2uh0aRLgjDGhwCKg3Fp7hjEmH5gDpACLgUustR1O1ijiK8tL6/ju44upb+3kP5cUcKKWdvA5jQ9Kr9PR5eafc4s57W8fUlLVzF8vmMB/Lp2s0Sw5GDcAa/d4/ifgbmvtEGAXcJUjVYn42DOLSvnmffMJMYZnv3uUgpafaGRLepXFW2u55YWVbKho4tQxmfx21mjS4xWypPuMMTnA6cAfgBuN51jKDOBb3k0eBX4D3OtIgSI+0NHl5vevruG/n27lmCEp/P2iSSTHRjhdVq+lsCW9Qn1rJ3e8uY4nPttG/8QoHrhUQ+FyyP4K3Ax8vqhQClBnre3yPi8DdBqrBK3Kxja+//gSFm3dxexpg7j5lOGEaSK8XylsSVCz1vL6yp385n+rPdfuOiafG08eRlyk/mvLwTPGnAFUWmsXG2MKD+HrD+mSY8F8SaNgrb2v1r2+1sW9y9tp6bJ8b3wkU2Mq+OjDCt8VuB999fv9Of1GkqBVtquFW19ezXvrKhndP4EHLytgXE6S02VJcDsGOMsYcxoQBSQA9wBJxpgw7+hWDlC+ry8+1EuOBfMljYK19r5Wt8tt+dfcYu5euIEByTHMuWQyIzITfF/gfvS17/feFLYk6LR1uvjPvBL+WVSMwfCL00ZyxTF5GgaXw2atvQW4BcA7svVja+23jTHPAufhOSNRV8GQoFLZ2MaPnl7Gx8U1zJrQnz+cM1aj/z1M320JKu+treC3/1vDttoWThubyS9OH0V2UrTTZUnv91NgjjHmNmAp8KDD9Yh0y0cbq/nh00tpau/ijnPH8c2CHK2f5QCFLQkKW2ua+e3/1vD+ukoGp8Xy+FVTOXaoLhwt/mOtLQKKvI9LgClO1iNyMDq63Pz13Q3c+8EmhqTF8eQ1RzIsQxeSdorClgS01g4X/yoq5r4PSggP9RwyvOzoPCLCdMhQRGRfNlQ08qOnl7F6ewMXFORy61mjiInQr3sn6bsvAcnttryyfDt3vLmO7fVtnDMxm5+dOoIMLUwqIrJPLrfloY828+e31xMfGcb9l0zm5NGZTpclKGxJAPqspIY/vL6WFWX1jMlO4O4LJjB1UIrTZYmIBKzS2hZuenY5CzbXctKoDP74jbGkxkU6XZZ4KWxJwCipauL2N9bx9poKshKjuOv88Zw9IZuQEE3mFBHZF7fb8uSCbdz+xjoA/nzeOM6brEnwgUZhSxy3q7mDe97byOOfbiUyLIQfnzyMq44dRHREqNOliYgErOLKJm55YQULt+zi6MEp/OncceQmxzhdluyDwpY4pqWji0c+2cK9RZtobu/iwikD+NGJw0iL19C3iMj+dHS5+fcHm/jH+8VER4Ryx3nj+KZGswKawpb0uPYuF099to1/zN1EdVM7M0ak87NTR+i0ZBGRr1Fc5+L//v4hGyqaOGNcFreeOVp/oAaBHg1bxpgtQCPgArqstQU92b44q8vl5oWl5dzz7kbK61qZmp/MfZdMYvLAZKdLExEJaFWN7dzx5jqeXdxGVmIUD15WwAkjM5wuS7rJiZGt6dbaagfaFYe43ZbXV+3grnc2UFLVzPicRG4/dyzHDknVsLeIyAF0utw8Nn8rf31nA21dLk7LD+eOy4/X5XaCjHpL/Mbttryxaid/f38j63Y2MiwjjvsumczJozIUskREvsYnxdXc+spqNlY2cfywNH595ihKVy9S0ApCPd1jFnjbGGOB+6y19+/5pjFmNjAbICMjg6Kiom5/cFNT00FtHyh6Y90ut+WznS5e3dTB9mZLZqxh9rhIjsxyE1K1jg8+WNezxe6lN37PA1mw1i3ilOLKRm5/Yz3vrq1gQHIM/7m0gBNHpmOModTp4uSQ9HTYOtZaW26MSQfeMcass9bO+/xNb/i6H6CgoMAWFhZ2+4OLioo4mO0DRW+qu9Pl5sWl5fxrbjFbatoZnhHP388awmljswgNoLWyetP3PBgEa90iPa2ioY2739nAM4tKiY0I4yenDOeqY/OJCtcyOMGuR8OWtbbce19pjHkRz4Vd5x34qyTQtXa4eG5xKf/+oITyulZG90/g3xd7DhdqQVIJJsaYXOAxIAPPSPz91tp7jDHJwNNAHrAFON9au8upOqV3aWjr5L4PNvHgR5txuS2XHZ3HD2YMJTk2wunSxEd6LGwZY2KBEGtto/fxycDveqp98b3qpnYem7+V/87fwq6WTiYOSOL3Z49m+vB0zcmSYNUF3GStXWKMiQcWG2PeAS4H3rPW3m6M+RnwM+CnDtYpvUBTexePfrKF/3xYQl1LJ2eN78+PTx7OgBQtTNrb9OTIVgbwoveXcBjwpLX2zR5sX3ykpKqJR1a3M//d92nvcnPiyAxmTxvEEXn9FLIkqFlrdwA7vI8bjTFrgWxgFlDo3exRoAiFLTlEjW2dPDZ/6+6QNX14Gj86aRjjcpKcLk38pMfClrW2BBjfU+2Jb1lrWbC5lgc+2sy7aysINfDNggFcdWw+Q9LjnC5PxOeMMXnAROAzIMMbxAB24vnjcV9fc0gn+QTzSQTBWrsTdbd2Wd7d2smbWzpp7oRxaaFcPy6KQUkt1BYvo6j46z9D3++e5au6df6oHFBzexcvLi3nv/O3sr6ikaSYcH4wfQiD7XZmnTLW6fJE/MIYEwc8D/zQWtuw54ittdZ6z6j+ikM9ySeYTyII1tp7su4d9a08/PEWnvpsG43tXcwYkc4NJwxlfG7SQX+Wvt89y1d1K2zJPpVUNfHfT7fy3KIyGtu7GJWVwJ/OHctZ47OJjgilqGjH13+ISBAyxoTjCVpPWGtf8L5cYYzJstbuMMZkAZXOVSjBYu2OBv4zr4RXlm/HbS2nj+vP7OMGMTYn0enSpIcpbMlunS43762t5InPtvLhxmrCQw2njc3i0qMGMmmA5mNJ72c8/8kfBNZaa+/a461XgMuA2733LztQngQBl9syd10lj87fwocbq4mJCOXiIwdy1bH55CZr4ntfpbAlFFc28cyiUl5YUkZ1UweZCVHcdNIwLpwyQBc4lb7mGOASYKUxZpn3tZ/jCVnPGGOuArYC5ztTngSq6qZ2nl5YypOfbaO8rpWMhEh+cspwvj11AEkxWsKhr1PY6qOa27t4bcUOnl5UyuKtuwgLMZwwMp0Ljshl2tA0wkJDnC5RpMdZaz8C9jeEe0JP1iKBz+22LNhSy1MLtvH6yh10uixHD07hl6eP5MRRGYRrPypeClt9SJfLzSebanh52XbeXLWD5g4Xg9Ni+flpIzhnYo5GsUREumFbTQvPLynj+SVllO1qJT4yjG9PHcjFRw5gSHq80+VJAFLY6uWstSwrrePlZdt5dcUOqpvaiY8K44xx/Tn/iBzNxRIR6Yam9i7eWLmD5xaX8dnmWoyBYwanctPJwzhldCYxEfp1Kvun/x29kLWW9RWNvL5iBy8v387WmhYiwkI4YUQ6syb0p3B4uq61JSLyNRrbOnlvbSWvrdzBBxuq6Ohyk58ay49PHsY5k3LITop2ukQJEgpbvYTbbVleVsebq3fy1qqdbKlpIcTA0YNTuXb6EGaOySQhKtzpMkVEAlpDWyfv7xWwMhIi+daUAZw5PktHA+SQKGwFsU6Xm4Wba3lz9U7eXl3BzoY2wkIMRw1O4ZppgzhpVAbp8VFOlykiEtBKqpp4f10l762tZOGWWrrcdnfAOmOcJ2CFhChgyaFT2AoyO+vbKFpfSdH6Kj4urqaxvYuo8BCOH5bGT8cMZ8bwDBJjNIIlIrI/LR1drKzqYt7/1jB3fSWbq5sBGJYRx9XHDeLEkekKWOJTClsBrr3LxdJtdRStr6JofSXrdjYCkJkQxenjsigcns60YamanCkish/tXS6Wbavj4001zN9UzbLSOjpdloiwrRw9OIUrjslj+vB0LToqfqPf0AGmo8vNirI6Pi2pYX5JDYu37qKt001YiKEgrx8/O3UEhcPTGJ4Rr3kDIiL7UN/aydJtu1iyrY4lW3exaGstbZ1uQgyMzU7kqmMHEddcxlVnTSc6QicLif8pbDmsvcvyqTdUfVpSw6Itu2jtdAEwIjOei6YM4MhBKRw9OIV4TXAXEfmSTpeb4somVpbVs3jrLpZs28XGyiYAQgwMy4jnwiMGcPTgFKYOSiEx2rMfLSraqaAlPUZhqwe53ZbNNc0s3VbH0m27WLqtjrU7WrB8CsDwjHguOCKXIwclMzU/hX6xusSDiMjnGts6WbezkdXl9azZ0cCaHQ1s2NlEh8sNQGJ0OBMHJHHW+P5MGtiP8blJxEXq15w4T/8L/aSt00VxZRNrdjSwdkcDa7Z77hvaugCIjwxjwoAkzhwczjnHTWBCbpLClYj0edZaqps6KK5sYlPV57dmNlU2UV7Xunu75NgIRvdP4Ipj8hjVP4HR/RMZlBqrSe0SkBS2DlNLRxebq5spqfLeqptYu6OBTVXNuNwWgOjwUEZkxXPG+P5MyEli4oAkBqfFERJiKCoqonBEusP/ChGRntPc3kV5XSultS2U7WqlbFcLpbWtlNW1sK2mZfcfpeDZfw5Oj6Ugrx8XpuXuDlYZCZGatypBo0fDljFmJnAPEAo8YK29vSfbPxRdLjeVje1sr2ulvK6V7XVtlNe1sLm6mc1VzWyvb/vS9tlJ0QzPjOfkUZmMzEpgZFY8A1NiCdVfWyJBLRj3Xz2p0+WmvrWTupZOapraqWz8/NZGVYPncUVDG5WN7dS3dn7payPDQsjpF01ucgwTc/sxOC2WwelxDE6LIzMhSqNVEvR6LGwZY0KBfwInAWXAQmPMK9baNT1Vg7WWtk43zR1dNLd30dTeRV1LJ9VN7dQ2d1DT1EFNcwc1Te3UNHews76NnQ1tu0eoPpcYHU5eSgxTB6UwKDWWQWlx5KfGkp8aqwmXIr1QIOy/fMnttnS63XS6LB1dbjpdbjq63LR2umhu76Klw3Pvee6ipaNr931Texd1rZ3Ut3RS19rBztoW2ue+RWN71z7biggNIS0+krT4SPJTYzlyUAqZiVHkJsd4Ala/GFLjIjRKJb1aT45sTQGKrbUlAMaYOcAs4LB3Vr95ZTWfrmvln+s+odNlcbktXW5Ll8uNy21p7XTR5N2B7B2c9hRiIDk2kpTYCJJjI5ian0z/pGjvLYrspGiykqI14VKk7/Hb/uudNRXctaCVf2+Yj9sCFiwWa8ECbvvFY6zFvef71vO+9y0s3vet9Xyt2xOmOlyWTtcXoarrAPvBA4kMCyEuMozEmHCSosNJj48iwbYwPD+HpOgIkmLCSYoJJzk2gvT4KNLjI0mKCVeQkj6vJ1NDNlC6x/MyYOqeGxhjZgOzATIyMigqKurWB28tbaery0VTQz2hIYZQA9HGE55CwyAi0hCVBFGhYUSFQVSYISrUcx8bbkiI8NxiwiHEGMANtHlvddAKtEL5Dig/zG/C3pqamrr97wwkwVo3BG/tqttRX7v/gkPbh62o6KKjy0XtrjoMYAx8Hk0+P3pm8LwY4n0/5Cvv7/F1BkyI53FIGIRFGcJCIMxAWIghLCSMUAPhIRAasud7EBlmiAyFqFDvfdiX70O+FJo6gU6amjqJi6vyvNThubnqYAeeW6AK1v+Xqrtn+axua22P3IDz8Mxz+Pz5JcA/9rf95MmT7cGYO3fuQW0fKFR3zwvW2vtC3cAi20P7pIO5Hez+yx7kPixY+9ba4K1ddfesvlD3gfZfIfsKYH5SDuTu8TwH3w8UiYj4g/ZfInLIejJsLQSGGmPyjTERwIXAKz3YvojIodL+S0QOWY/N2bLWdhljrgPewnPq9EPW2tU91b6IyKHS/ktEDkePnlZnrX0deL0n2xQR8QXtv0TkUBlrD+0UYH8zxlQBWw/iS1KBaj+V40+qu+cFa+19oe6B1to0fxbTUw5yHxasfQvBW7vq7ll9oe797r8CNmwdLGPMImttgdN1HCzV3fOCtXbV3XsF8/coWGtX3T2rr9fdkxPkRURERPochS0RERERP+pNYet+pws4RKq75wVr7aq79wrm71Gw1q66e1afrrvXzNkSERERCUS9aWRLREREJOAobImIiIj4UdCHLWPMTGPMemNMsTHmZ07X013GmIeMMZXGmFVO13IwjDG5xpi5xpg1xpjVxpgbnK6pO4wxUcaYBcaY5d66f+t0TQfDGBNqjFlqjHnV6VoOhjFmizFmpTFmmTFmkdP1BKJg3Idp/9Xzgnkfpv1XkM/ZMsaEAhuAk4AyPNcvu8hau8bRwrrBGDMNaAIes9aOcbqe7jLGZAFZ1tolxph4YDFwdqB/z40xBoi11jYZY8KBj4AbrLWfOlxatxhjbgQKgARr7RlO19NdxpgtQIG1NhgXM/S7YN2Haf/V84J5H6b9V/CPbE0Biq21JdbaDmAOMMvhmrrFWjsPqHW6joNlrd1hrV3ifdwIrAWyna3q61mPJu/TcO8tKP7SMMbkAKcDDzhdi/hcUO7DtP/qecG6D9P+yyPYw1Y2ULrH8zKC5AenNzDG5AETgc8cLqVbvEPZy4BK4B1rbVDUDfwVuBlwO1zHobDA28aYxcaY2U4XE4C0D3NIsO2/IGj3YX9F+6+gD1viEGNMHPA88ENrbYPT9XSHtdZlrZ0A5ABTjDEBf/jDGHMGUGmtXex0LYfoWGvtJOBU4Frv4ScRRwXj/guCbx+m/dcXgj1slQO5ezzP8b4mfuSdL/A88IS19gWn6zlY1to6YC4w0+FSuuMY4Czv3IE5wAxjzOPOltR91tpy730l8CKew2byBe3Deliw778gqPZh2n95BXvYWggMNcbkG2MigAuBVxyuqVfzTtJ8EFhrrb3L6Xq6yxiTZoxJ8j6OxjMheZ2jRXWDtfYWa22OtTYPz//v9621FztcVrcYY2K9k5AxxsQCJwNBdfZaD9A+rAcF6/4LgnMfpv3XF4I6bFlru4DrgLfwTHR8xlq72tmquscY8xQwHxhujCkzxlzldE3ddAxwCZ6/UJZ5b6c5XVQ3ZAFzjTEr8PyCe8daG1SnIQehDOAjY8xyYAHwmrX2TYdrCijBug/T/ssR2of1LJ/uv4J66QcRERGRQBfUI1siIiIigU5hS0RERMSPFLZERERE/EhhS0RERMSPFLZERERE/EhhS0RERMSPFLZERERE/EhhS0RERMSPFLZERERE/EhhS0RERMSPFLZERERE/EhhS0RERMSPwpwuYH9SU1NtXl6e39tpbm4mNjbW7+1I96lPApP6JTCpXwKP+iQw+btfFi9eXG2tTdvXewEbtvLy8li0aJHf2ykqKqKwsNDv7Uj3qU8Ck/olMKlfAo/6JDD5u1+MMVv3954OI4qIiIj4kU/CljHmIWNMpTFm1X7eN8aYvxljio0xK4wxk3zRroiIiEig89XI1iPAzAO8fyow1HubDdzro3ZFREREAppP5mxZa+cZY/IOsMks4DFrrQU+NcYkGWOyrLU7fNG+SCDocrmpb+2krrWTupZOGto6ae90097lor3L7bl1uuhwuTEYjIEQw+7HoSGGqPBQYiJCiYkIIyYilOiIUGIjwugXE06/2AjCQ3XkX0Qk2PTUBPlsoHSP52Xe174Utowxs/GMfJGRkUFRUZHfC2tqauqRdqT7Aq1P3Nayq81S3eq5r213s6vN+7jN0tBhae60tHb5v5aYMIiPMLtvyVGGlChDSnQIKdGex4mRhhBjfN52oPWLeKhfAo/6JDA52S8BdTaitfZ+4H6AgoIC2xNnc+iskcDjVJ80tnWyfmcjxZVNbK5pZkt1M1uqW9hS00x7l/tL28ZGhJKZGEX/tGjGx0eSFBNOUnSE5z4mnMTocOKjwokKDyEyLHT3fWR4CBHe0Sm3tVjrvQdcLktbl4vmdhetHS5aOrpo6XTR3N7FrpZOaps6qG1up6a5g9rmDmqaOthU2UpDW+eXagsPNQxIjmFwWhyD0+M892mxDE6PIyEq/JC/P/pZCUzql8CjPglMTvZLT4WtciB3j+c53tdEepy1lrJdrazeXs+aHY2s29HA2p0NlNa27t7m88CSnxrLtGGp5KXGktsvhv5JUWQkRBF/GKHF1xrbOtle18b2ulbK6lop39XKlupmNlU1MXd9JZ0uu3vb/olRjOqfyOj+CYzJ9txnJUZh/DASJiIiHj0Vtl4BrjPGzAGmAvWaryU9pbGtkxVl9SwrrWPptl0s3VZHTXMH4JkzlZ8ay7icJC48YgAjMuMZmh5Pdr9oQkOCI4DER4UzPDOc4ZnxX3mvy+WmdFcrmyqbKK5qYu2OBlZvb+C9dRVYbwZLjo1gXE4ikwf0Y3JePybkJhETEVCD3iIiQc0ne1RjzFNAIZBqjCkDbgXCAay1/wZeB04DioEW4ApftCuyL3UtHXxaUsunJTV8WlLD+orG3cFicFos00ekM3FAEmP6JzIsI57oiFBnC/ajsNAQ8lNjyU+N5UQydr/e0tHF2h2NrNlez6ryBpaW7qJofRXgmag/KiuByQP7cUReMkcNTiE5NsKpf4KISNDz1dmIF33N+xa41hdtieytpaOL+Ztq+GRTDfM31bB2ZwPWQlR4CAUDkzl1TBYTByQxPieJxJjAOfznpJiIMCYP7Mfkgf12v1bf0smS0l0s2bqLRVt28fTCUh75ZAvGwKisBAZEdmD6VzElL7lXB1QREV/TsQIJOtZaSqqbmbuukg82VPFZSS0dLjcRYSFMHtCPH504jKMGpzA+J4mIMC2V0F2JMeFMH57O9OHpAHS63Kwsr+fjjdV8VFzN21s6eeOhBUSEhjB5YD9OGJnOjBHpDEqLc7hyEZHAprAlQaHL5WbB5lreWr2Tueur2FbbAsCQ9DguO3oghcPTmTywH1HhGnHxlfDQECYN6MekAf34wQlDeevduUQNGMPHxdV8sL6K215by22vrSU/NZYTRqQzY2Q6R+Qlay0wEZG9KGxJwOrocvPxpmreXLmTd9ZWUNvcQVR4CMcMTuWaaYMoHJZGbnKM02X2GZFhhuOHpXH8sDR+ftpISmtbmLu+kvfWVvLY/K088NFmEqLCOGlUJmeMy+KYIakaWRQRQWFLAkxbp4vFFV28/PQy3l1bQWNbF3GRYZwwMp1Tx2Ry/LB0zRcKELnJMVx6VB6XHpVHc3sXHxdX89bqCt5es5Pnl5SREBXGyaMzOX2sgpeI9G0KW+I4t9uycEstLy0r57UVO2ho6yIpppKZozM5dWwmxwxJJTJMASuQxUZ6gtXJozNp7/IcanxtxU7eWr2T5xZ7gtcpozM5Z2I2Rw5KISRIltUQEfEFhS1xTHFlIy8uLeelpdspr2slJiKUmaMzGRRazXfOmaG5P0EqMiyUGSMymDEiY3fwenXFDt5ctZNnF5eRnRTNOROzOXdyDvmpsU6XKyLidwpb0qPqWzt5eVk5zywqZVV5AyEGjhuaxs0zh3PSqAxiIsIoKipS0Ool9gxebZ0u3lq9k+eXlPOvomL+MbeYSQOSOHdyDmeM609itJblEJHeSWFL/M5ay5Jtu3jys1JeW7mdtk43o/sn8KszRnHm+CzS46OcLlF6QFR4KLMmZDNrQjYVDW28tLSc55eU8YsXV/Hb/63h9LFZfHvqACYP7KfLB4lIr6KwJX5T19LBC0vKeWrBNjZWNhEbEco3JuVw0REDGJuT6HR54qCMhCi+c/xgZk8bxKryBp5ZVMpLS8t5cWk5wzPi+faRAzh7YvZhXThbRCRQKGyJz60qr+fhj7fwvxXb6ehyMz43iT+dO5YzxvUnNlL/5eQLxhjG5iQyNieRW04bwf+Wb+eJz7bx65dX88fX13HW+P58+8gBjMtJcrpUEZFDpt984hOdLjdvr67gkU82s3DLLmIiQjm/IIdvTRnIqP4JTpcnQSAmIowLjhjABUcMYGVZPU8u2MpLS7fz9KJSJg5I4spj8pk5JlPz+UQk6ChsyWGpbe7gqQXbePzTreyob2NAcgy/OmMU503O0YRnOWRjcxL5Y844bjltJC8uKeeRT7bwg6eWkpUYxaVH5XHRlFySYnRxbBEJDgpbckhKqpr4z4clPL+knI4uN8cNTeW2s8dQODydUK2hJD6SEBXOZUfnccmRA5m7vpKHPt7Mn95cx9/e28i5k7O54ph8BuvajCIS4BS25KAs3baL+z4o4a01OwkPDeG8yTlccXQeQzPinS5NerGQEMMJIzM4YWQG63Y28NBHm3lmURmPf7qNE0em873CIUwe2M/pMkVE9klhS76WtZaiDVX8u2gTn22uJSEqjGsLh3DZ0XmkxUc6XZ70MSMyE7jjvPHcPHMEj3+6lUc/2cK5937C1Pxkvlc4mOOHpWnpCBEJKApbsl+dLjevrtjOfR+UsG5nI1mJUfzy9JFcOGUAcTqrUByWGhfJD08cxuxpg3hqQSkPfFjC5Q8vZHT/BL5XOJhTx2TpkLaIBAT9xpSv6Ohy8/ySMv45t5iyXa0MTY/jL98cz1nj++tiwhJwYiLCuOrYfC45ciAvLSvn3x9s4ronl5KXsp7vHD+Yb0zK1rU1RcRRCluyW0eXm+cWe0JWeV0r43ISufXM0ZwwIl0XDpaAFxEWwvkFuZw7KYe3V+/kX0WbuOWFlfz9vY18f/oQzi/I1R8LIuIIhS2hvcvFs4vKuLdoE+V1rYzPTeK2c8ZQqLkvEoRCQwynjs1i5phMPtxYzT3vbeSXL63i3qJNXDt9COdNzlHoEpEepbDVh7V3uXhmURn3zi1me30bEwck8YdzxmiCsfQKxhimDUvjuKGpfLixmrvf3cDPX1zJv4qKuW76EM6dnKMFUkWkRyhs9UFdLs+crHve3cj2+jYmD+zH7eeO47ihqQpZ0uvsGbo+2FDF3e9u5GcvrOSfRcX8YPpQzpmUrdAlIn6lsNWHWGt5Y9VO/vL2ekqqmj3XLDxvHMcOUciS3s8YQ+HwdI4flkbR+irufncDNz+/gn8VFXPTycM5fWyW5iaKiF8obPUB1lo+3FjNn99az8ryeoamx3HfJZM5eVSGQpb0OcYYpo9Ip3B4Gu+treQvb6/nB08t5b55m7j5lBEa4RURn/NJ2DLGzATuAUKBB6y1t+/1/uXAn4Fy70v/sNY+4Iu25cCWbtvFHW+uZ35JDdlJ0fzlm+M5Z2K21h+SPs8Yw4mjMpgxIp2Xl5dz59sbuPShBRw1KIWfnjqCCblJTpcoIr3EYYctY0wo8E/gJKAMWGiMecVau2avTZ+21l53uO1J92yoaOQvb63n7TUVpMRG8JszR3HR1AFab0hkLyEhhnMm5nD62P48+dlW/v5+MWf/82NOHZPJTScPZ0i6rr0oIofHFyNbU4Bia20JgDFmDjAL2DtsSQ+obGzjrrc38MyiUmIjwrjppGFceWw+sVrxXeSAIsJCuPyYfM4ryOXBDzfznw9LeGv1Ts4vyOXGk4aRnhDldIkiEqSMtfbwPsCY84CZ1tqrvc8vAabuOYrlPYz4R6AK2AD8yFpbuo/Pmg3MBsjIyJg8Z86cw6qtO5qamoiLC/6/XNtdljc3d/L65k663HDCgDDOGhxBXETwHS7sLX3S2/S1fmnosLy6qYP3tnURFgKn5YczMz+cyNDA+pnqa/0SDNQngcnf/TJ9+vTF1tqCfb3XU8Md/wOesta2G2O+AzwKzNh7I2vt/cD9AAUFBbawsNDvhRUVFdET7fiL2215fkkZf3l7PRUNnZw6JpOfzhxBXmqs06UdsmDvk96qL/bLWcDWmmZuf2MdL67ayfzKUH5yynDOmZgdMGcu9sV+CXTqk8DkZL/4ImyVA7l7PM/hi4nwAFhra/Z4+gBwhw/a7fM+Ka7mttfWsmZHA+Nzk/jHtyZxRF6y02WJ9CoDU2K59+LJLNxSy22vruGmZ5fz8Ceb+eXpozhyUIrT5YlIEPBF2FoIDDXG5OMJWRcC39pzA2NMlrV2h/fpWcBaH7TbZxVXNvLH19fx3rpKspOiuefCCZw5rn/A/KUt0hsdkZfMi98/hv+t2M4db67nwvs/5aRRGdxy6ggGpemQkYjs32GHLWttlzHmOuAtPEs/PGStXW2M+R2wyFr7CnC9MeYsoAuoBS4/3Hb7ovqWTu5+dwP//XQrMeGh/OzUEVx+dB5R4TrDUKQnhIQYZk3I5pTRmTz40Wb+NbeYk++ex8VHDuRHJw4jMSbc6RJFJAD5ZM6WtfZ14PW9Xvv1Ho9vAW7xRVt9kctteXphKX9+ax31rZ1cNGUAN540jJS4SKdLE+mTosJDuXb6EM4vyOXudzfw2PwtvLysnJ+cMoILjsjVOnYi8iVaDyDALdxSy29eWc3q7Q1MyU/m1jNHMbp/otNliQiQFh/J/50zlounDuQ3/1vNz19cyROfbeW3Z42mQPMnRcRLYStA7ahv5Y+vr+OV5dvJSozi7xdN5IxxWbqMiEgAGtU/gadnH8mrK3bwf6+v5bx/z+fsCf352akjyUzU+lwifZ3CVoBp63TxwIcl/HPuJlzWcv2MIXy3cDAxEeoqkUBmjOHM8f05YWQ69xZt4r55Jby9poLrZgzhqmPzdfUGkT5Mv8EDhLWWt9dUcNtrayitbWXm6Ex+cfpIcpNjnC5NRA5CTEQYN508nG9OzuW219Zwx5vreXphKb8+YxQzRqRrdFqkD1LYCgBbqpu59ZXVfLChimEZcTxx9VSOGZLqdFkichgGpMRw/6UFzNtQxW//t5qrHl1E4fA0bj1zNPlBvOiwiBw8hS0HtXW6+FfRJv79wSYiQkP49RmjuPSogYSFhjhdmoj4yLRhabz5w2k8+skW/vruRk65ex7fLRzM9wsHa9kWkT5CYcshc9dVcusrq9lW28KsCf35xWkjdaFbkV4qPDSEq48bxFnj+3Pba2v523sbeXlZOb85azTTh6c7XZ6I+JmGUHpYeV0r3/nvIq54ZCHhoYYnr57KPRdOVNAS6QPSE6L420UTefLqqYSGGK54eCHf/e9itte1Ol2aiPiRRrZ6SEeXmwc+KuHv7xVjsdw8czhXHzuIiDDlXZG+5ughqbx5wzT+82EJf39/I/PuquKGE4Zy5bH5hGsagUivo7DVAz7ZVM2vXlrFpqpmTh6Vwa/PHEVOP51lKNKXRYSFcO30IZw1vj+//d8a/vjGOp5fUsbvZ41hqi5wLdKr6E8oP6psaOOGOUv51n8+o8Pl5qHLC7j/0gIFLRHZLTc5hgcuK+CBSwto6XBxwf2fcuMzy6hqbHe6NBHxEY1s+YHLbXn806385a31tHe5uX7GEL4/fYjOPBKR/TpxVAbHDEnln3OLuW/eJt5ZU8HNpwznW1MH6lqLIkFOYcvH1mxv4JYXV7K8tI7jhqbyu1ljtKaOiHRLdEQoPz5lOOdMyubXL6/iVy+v5rkl5fzfOWN0TVSRIKbDiD7S0tHFH19fy5n/+Iiy2hbuuXACj105RUFLRA7a4LQ4Hr9qKvdcOIHyXS2c9Y+P+b/X19LS0eV0aSJyCDSy5QNF6yv55UurKNvVygUFudxy2giSYiKcLktEgpgxhlkTsikcls7tb67l/nklvLZiB7edPYbpI7Q2l0gw0cjWYahsbOO6J5dw+cMLiQwL4enZR/Kn88YpaImIzyTGhPPHb4zj2e8eRUxEKFc8spBrn1hCZUOb06WJSDdpZOsQuN2WOQtLuf2NtbR1uvnRicP4buEgIsM0AV5E/OOIvGReu/447p+3ib+9X8y8DVXcfOoIsq11ujQR+RoKWwdpY0UjP39xJQu37OLIQcn84ZyxDE6Lc7osEekDIsJCuG7GUE4f159fvLiSX720isGJIfQf2cCIzASnyxOR/dBhxG5q63Rx59vrOe1vH7Kxsok7zhvHU9ccqaAlIj0uPzWWJ66eyl3nj6eyxc0Zf/uIP725jtYOl9Olicg+aGSrGz4pruYXL61ic3Uz50zM5penjyQlLtLpskSkDzPG8I1JOYRXb+SD+mTuLdrEqyu2c9vZYzl+WJrT5YnIHjSydQC1zR3c9MxyvvXAZ7it5b9XTeHuCyYoaIlIwIiPMPzlm+N56pojCQ8J4bKHFnD9U0u1Ar1IANHI1j5Ya3lhSTm3vbaGxrYurp0+mB/MGKoV4EUkYB01OIXXbziOe4s2cW/RJorWV3LLaSO5oCCXEK1AL+Ioha29bK5u5hcvruSTTTVMGpDEH78xjuGZ8U6XJSLytaLCQ/nRScM4c3x/fv7iSm55YSUvLCnj/84Zy9AM7cdEnOKTw4jGmJnGmPXGmGJjzM/28X6kMeZp7/ufGWPyfNGuL3V0ufn7exs55a/zWFlez21nj+G57x6toCUiQWdIehxPzz6SO84dx4aKJk7724fc+fZ62jo1gV7ECYc9smWMCQX+CZwElAELjTGvWGvX7LHZVcAua+0QY8yFwJ+ACw63bV9ZtKWWW15YycbKJk4fm8WtZ44iPSHK6bJERA6ZMYbzj8hlxsh0bnt1DX9/v5hXV+zgD+eM4ejBqU6XJ9Kn+GJkawpQbK0tsdZ2AHOAWXttMwt41Pv4OeAEY4zjkwjqWzp5ZFU75/17Pi0dLh66vIB/fnuSgpaI9BqpcZH89cKJPHblFFxuy7f+8xk/fnY5u5o7nC5NpM/wRdjKBkr3eF7mfW2f21hru4B6IMUHbR+yxrZOTrr7Az4o6+Ka4/J5+0fTmDEiw8mSRET8ZtqwNN764TS+VziYl5aWc8JdH/DCkjKsVqAX8TtzuD9oxpjzgJnW2qu9zy8Bplprr9tjm1Xebcq8zzd5t6ne67NmA7MBMjIyJs+ZM+ewavs6b27uZGB0OyMztTBpIGlqaiIuTn0SaNQvgelQ+qW00c3Dq9opqXczOiWES0dFkhGrlYB8RT8rgcnf/TJ9+vTF1tqCfb3ni7B1FPAba+0p3ue3AFhr/7jHNm95t5lvjAkDdgJp9gCNFxQU2EWLFh1Wbd1RVFREYWGh39uR7lOfBCb1S2A61H5xuS1PfLaVO95cT6fLzfUnDOWa4wYREabQdbj0sxKY/N0vxpj9hi1f/FQtBIYaY/KNMRHAhcAre23zCnCZ9/F5wPsHCloiIuJfoSGGS4/K490bj2f68HT+/NZ6zvz7RyzeWut0aSK9zmGHLe8crOuAt4C1wDPW2tXGmN8ZY87ybvYgkGKMKQZuBL6yPISIiPS8zMQo/n3JZP5zaQENbZ2c9+/5/OLFldS3djpdmkiv4ZNFTa21rwOv7/Xar/d43AZ80xdtiYiI7500KoOjBqdw59vrefSTLby9poLfnDma08ZmEgAnj4sENR2cFxERAOIiw7j1zNG8dO0xpMVFcu2TS7j60UWU17U6XZpIUFPYEhGRLxmXk8Qr1x3DL04bySebajjprg944MMSulxup0sTCUoKWyIi8hVhoSFcM20Qb/9oGlPzk7nttbWc/a+PWVVe73RpIkFHYUtERPYrNzmGhy4/gn98ayI769s56x8f8ftX19Dc3uV0aSJBQ2FLREQOyBjDGeP6895Nx3PhlAE8+NFmTr57Hu+trXC6NJGgoLAlIiLdkhgdzv+dM5Znv3sUMRGhXPXoIq59YgmVDW1OlyYS0BS2RETkoByRl8xr1x/HTScN4521FZxw1wc8/ulW3G6tVS2yLwpbIiJy0CLCQvjBCUN584bjGNM/kV++tIpv3jef9TsbnS5NJOAobImIyCEblBbHk9dM5S/fHE9JVROn/+1D/vzWOto6XU6XJhIwFLZEROSwGGM4b3IO791UyFkT+vPPuZs45a/z+GBDldOliQQEhS0REfGJ5NgI7jp/Ak9cPZUQY7jsoQV87/HFbNcK9NLHKWyJiIhPHTMklTd/eBw/PnkY76+r5MS7PuDfH2yio0sr0EvfpLAlIiI+FxkWynUzhvLujcdz9OBUbn9jHaf97UPmb6pxujSRHqewJSIifpObHMMDlxXw4GUFtHW6uOg/n3LDnKVam0v6FIUtERHxuxNGZvDujcdz/YwhvLFyJyfc+QEPfbRZF7eWPkFhS0REekRUeCg3njyct340jYkD+/G7V9dw5j8+ZvHWXU6XJuJXClsiItKj8lNjefSKI7j325Ooa+ng3Hs/4ebnllPT1O50aSJ+obAlIiI9zhjDqWOzePfG4/nO8YN4YUk5hX8p4sGPNtOpQ4vSyyhsiYiIY2Ijw7jl1JG8+cPjmDigH79/dQ2n3vMh87QgqvQiClsiIuK4IenxPHrFETxwaQGdLjeXPrSAqx9dxNaaZqdLEzlsClsiIhIQjDGcOCqDt380jZ/OHMH8TdWcdNc8/vTmOprau5wuT+SQKWyJiEhAiQwL5XuFg5n740LOGJ/FvUWbmPGXIp5fXIbbbZ0uT+SgKWyJiEhASk+I4q7zJ/Di948mKymam55dzjfu/YSl27RUhAQXhS0REQloEwf048XvHc1fvjme8rpWzvnXJ1z35BJKa1ucLk2kWw4rbBljko0x7xhjNnrv++1nO5cxZpn39srhtCkiIn1PSIjhvMk5zP1xIdfPGMK7ays44c4P+MNra6hv6XS6PJEDOtyRrZ8B71lrhwLveZ/vS6u1doL3dtZhtikiIn1UXGQYN548nKIfT2fWhP488NFmpv15Lg9+tJmOLq3PJYHpcMPWLOBR7+NHgbMP8/NERES+VmZiFH/+5nhe+8FxjM1O5PevruGkuz/gjZU7sFaT6CWwmMP5T2mMqbPWJnkfG2DX58/32q4LWAZ0Abdba1/az+fNBmYDZGRkTJ4zZ84h19ZdTU1NxMXF+b0d6T71SWBSvwQm9QtYa1lZ7eLp9R2UN1mGJIVwwfAIhvYLdaQe9Ulg8ne/TJ8+fbG1tmBf731t2DLGvAtk7uOtXwCP7hmujDG7rLVfmbdljMm21pYbYwYB7wMnWGs3HajdgoICu2jRogPW5gtFRUUUFhb6vR3pPvVJYFK/BCb1yxe6XG6eW1zGne9soKqxnRNHpvPjU4YzIjOhR+tQnwQmf/eLMWa/YSvs677YWnviAT64whiTZa3dYYzJAir38xnl3vsSY0wRMBE4YNgSERE5GGGhIVw4ZQBnTejPwx9v4d8fbOLUez5k1vj+3HjScAakxDhdovRRhztn6xXgMu/jy4CX997AGNPPGBPpfZwKHAOsOcx2RURE9ikmIoxrpw/hw5un851pg3lz9U5m3FnEL19aSWVDm9PlSR90uGHrduAkY8xG4ETvc4wxBcaYB7zbjAQWGWOWA3PxzNlS2BIREb9KiongZ6eO4IOfTOfCKbnMWVDKtD/P5fY31lHX0uF0edKHfO1hxAOx1tYAJ+zj9UXA1d7HnwBjD6cdERGRQ5WREMVtZ4/lmuMGcfc7G7hv3iae+HQrVxyTx5XH5pMUE+F0idLLaQV5ERHpEwamxPLXCyfyxg3HcezQVP72fjHH/mkud769XiNd4lcKWyIi0qeMyEzg3osn88YNxzFtWCp/94auv7y1nl3NCl3iewpbIiLSJ43MSuBf357Mmz88juOHpfHPomKO/dP73PHmOoUu8anDmrMlIiIS7EZkJvDPb09iQ0Ujf3tvI/d+sIlHPtnChUcM4Orj8umfFO10iRLkNLIlIiICDMuI5x/fmsTbP5zGzNGZPDZ/C9PumMuNzyxjQ0Wj0+VJEFPYEhER2cPQjHjuumACH9w8nUuOGsgbK3dy8t3zuOqRhSzYXKtrL8pBU9gSERHZh+ykaG49czSf/GwGN540jKWldZx/33zOvfcT3l69E5dboUu6R3O2REREDqBfbATXnzCUa44bxLOLS7l/Xgmz/7uYAckxXHrUQM4/IpeEqHCny5QAppEtERGRboiOCOXSo/Io+nEh//zWJDISIrnttbUc+X/v8euXV7GpqsnpEiVAaWRLRETkIISFhnD6uCxOH5fFqvJ6Hv54C3MWlPLY/K0cPyyNyfFdTHNbQkKM06VKgNDIloiIyCEak53IneeP55NbZnDTScNYu6OBuxa3M+3Pc/n7exup0IWvBYUtERGRw5YaF8kPThjKRz+dwffHR5KXEsud72zg6Nvf5+pHF/H+ugpNqO/DdBhRRETERyLCQpiSFcbNhVPZWtPMnIWlPLuojHfXVtA/MYpvFuRy7qQcBqTEOF2q9CCFLRERET8YmBLLT2eO4MaThvHe2gqeXFDK397fyD3vbaRgYD/OmZTN6WOzSIqJcLpU8TOFLRERET8KDw1h5pgsZo7JoryulZeWlvPi0nJ+8eIqfvvKGqaPSOOciTlMH5FGZFio0+WKHyhsiYiI9JDspGiunT6E7xcOZvX2Bl5YUs4ry7fz1uoKEqPDOXlUBqeOzeSYIakKXr2IwpaIiEgPM8YwJjuRMdmJ/Py0EXxUXM1LS8t5c9VOnl1cRnxkGCeMTGfmmCyOH5ZGdISCVzBT2BIREXFQWGgIhcPTKRyeTnuXi4+Lq3lj5U7eWVvBS8u2Ex0eyvQRaZw0KoNpQ9NIiYt0umQ5SApbIiIiASIyLJQZIzKYMSKDTpebz0pqeWPVDt5aXcHrK3diDIzLSWL68DSmD09nbHaiFk8NAgpbIiIiASg8NIRjh6Zy7NBUfj9rDKu21zN3XRVz11dyz3sb+eu7G0mJjeDYoakcNSiFowanMCA5BmMUvgKNwpaIiEiACwkxjMtJYlxOEjecOJSapnbmbayiaH0VHxfX8PKy7QD0T4ziyMEpHDUohan5KeQmRyt8BQCFLRERkSCTEhfJORNzOGdiDtZaNlU1MX9TDfNLaihaX8ULS8oBSI2LYEJuPyYOSGLigCTG5yQRG6lf/T1N33EREZEgZoxhSHo8Q9LjueSoPNxuy4bKRhZt2cXSbXUsLd3Fu2srAAgxMCQ9jpFZCV/cMuNJi4/stSNg1loa2rocreGwwpYx5pvAb4CRwBRr7aL9bDcTuAcIBR6w1t5+OO2KiIjIvoWEGEZkJjAiM4GLjxwIQF1LB8tK61iyrY7V5fUs3Fy7+9AjQEpsBMMz48lPjSU/NZa8lFjy02LJ7RdDRFhwXEa5tcPF1tpmNlU2s6mqafetpKqZvJRYbh7vXG2HO7K1CvgGcN/+NjDGhAL/BE4CyoCFxphXrLVrDrNtERER6YakmIjdy0t8rq6lg7U7Glm3s4G1OxrYUNHEqyt2UN/auXub0BBD/6QoshKiyUyMIisxavd9ekIU/WIiSIoOJyE6nFA/nRXZ6XKzq7mDmuYOar33lQ1tlNe1Ur6rle31rWyva6O2ueNLX5edFM2gtFjOL0hmVFYCNG/yS33dcVhhy1q7Fvi6occpQLG1tsS77RxgFqCwJSIi4pCkmAiOGuw5i3FPu5o72FzTzJbqZjZXN7O1poWdDW0sK63jzdVtdHS5v/JZxkBCVDhJMeEkRocTFR5KZFjIl+4jwkIwgMVzaM9asBbc1tLW5aa1o4uWDhctHS7aOj33u1o6aNzPIcCYiFCyk6LJ7hfNuJwkspOiyU2OYXBaLINS476yEGxRkXNhy1hrD/9DjCkCfryvw4jGmPOAmdbaq73PLwGmWmuv28e2s4HZABkZGZPnzJlz2LV9naamJuLi4vzejnSf+iQwqV8Ck/ol8PTmPrHW0tQJtW1u6totzZ3Q3GFp6vTcmjs9r3W4LJ1uPDeXpcMNnW5P3jAYjAGD92YgPAQiQw2RoRAR+sXj2HBDfMQXtzjv835Rhpiwrx3s+RJ/98v06dMXW2sL9vXe145sGWPeBTL38dYvrLUvH25xe7LW3g/cD1BQUGALCwt9+fH7VFRURE+0I92nPglM6pfApH4JPOqTwORkv3xt2LLWnniYbZQDuXs8z/G+JiIiItLr9cQpBguBocaYfGNMBHAh8EoPtCsiIiLiuMMKW8aYc4wxZcBRwGvGmLe8r/c3xrwOYK3tAq4D3gLWAs9Ya1cfXtkiIiIiweFwz0Z8EXhxH69vB07b4/nrwOuH05aIiIhIMAqOlcpEREREgpRPln7wB2NMFbC1B5pKBap7oB3pPvVJYFK/BCb1S+BRnwQmf/fLQGtt2r7eCNiw1VOMMYv2ty6GOEN9EpjUL4FJ/RJ41CeBycl+0WFEERERET9S2BIRERHxI4Ut74r1ElDUJ4FJ/RKY1C+BR30SmBzrlz4/Z0tERETEnzSyJSIiIuJHfTZsGWNmGmPWG2OKjTE/c7oeAWPMQ8aYSmPMKqdrkS8YY3KNMXONMWuMMauNMTc4XVNfZ4yJMsYsMMYs9/bJb52uSb5gjAk1xiw1xrzqdC3iYYzZYoxZaYxZZoxZ1OPt98XDiMaYUGADcBJQhuf6jRdZa9c4WlgfZ4yZBjQBj1lrxzhdj3gYY7KALGvtEmNMPLAYOFs/L84xxhgg1lrbZIwJBz4CbrDWfupwaQIYY24ECoAEa+0ZTtcjnrAFFFhrHVn/rK+ObE0Biq21JdbaDmAOMMvhmvo8a+08oNbpOuTLrLU7rLVLvI8b8VzjNNvZqvo269HkfRruvfW9v5wDkDEmBzgdeMDpWiRw9NWwlQ2U7vG8DP3yEPlaxpg8YCLwmcOl9HneQ1XLgErgHWut+iQw/BW4GXA7XId8mQXeNsYsNsbM7unG+2rYEpGDZIyJA54HfmitbXC6nr7OWuuy1k4AcoApxhgdeneYMeYMoNJau9jpWuQrjrXWTgJOBa71TlvpMX01bJUDuXs8z/G+JiL74J0X9DzwhLX2BafrkS9Ya+uAucBMh0sROAY4yzs/aA4wwxjzuLMlCYC1ttx7Xwm8iGc6UY/pq2FrITDUGJNvjIkALgRecbgmkYDknYz9ILDWWnuX0/UIGGPSjDFJ3sfReE72WedoUYK19hZrbY61Ng/P75X3rbUXO1xWn2eMifWe3IMxJhY4GejRs977ZNiy1nYB1wFv4Zns+4y1drWzVYkx5ilgPjDcGFNmjLnK6ZoE8Py1fgmev9KXeW+nOV1UH5cFzDXGrMDzx+M71lotMyCybxnAR8aY5cAC4DVr7Zs9WUCfXPpBREREpKf0yZEtERERkZ6isCUiIiLiRwpbIiIiIn6ksCUiIiLiRwpbIiIiIn6ksCUiIiLiRwpbIiIiIn6ksCUiIiLiRwpbIiIiIn6ksCUiIiLiRwpbIiIiIn6ksCUiIiLiR2FOF7A/qampNi8vz+/tNDc3Exsb6/d2pPvUJ4FJ/RKY1C+BR30SmPzdL4sXL6621qbt672ADVt5eXksWrTI7+0UFRVRWFjo93ak+9QngUn9EpjUL4FHfRKY/N0vxpit+3tPhxFFRERE/MgnYcsY85AxptIYs2o/7xtjzN+MMcXGmBXGmEm+aFdEREQk0PlqZOsRYOYB3j8VGOq9zQbu9VG7IiIiIgHNJ3O2rLXzjDF5B9hkFvCYtdYCnxpjkowxWdbaHb5o/1C9t7aCFZVd2PWVhIeEEBZqCA81hIWEEB0RSnxUGHGRYcRGhBESYpwsVURERIJUT02QzwZK93he5n3tS2HLGDMbz8gXGRkZFBUV+bWo695tprULWLLwgNsZICoMosMMceGGxEjPLSnSkBjhedwvypAW43lujILZ4WhqavJ738vBU78EJvVL4FGfBCYn+yWgzka01t4P3A9QUFBg/X02x0sjGpn/2QLGTZxEl8vS5XLT6fbct3S4aGrvorGtk6a2Lhraumhs66KupYOqpnY2NbZTtaOdLrf90mdGhYeQ2y+GAckx5CbHkJcSw9CMeIZmxJEWF6kg1g06kycwqV8Ck/ol8KhPApOT/dJTYascyN3jeY73NUcNz4xnR2Iokwb0O6Svd7stda2dVDW2s72+lbLaFrbtvrXyaUkNzR2u3dv3iwlnaEY8wzLiGJ6ZwLjsREZkxRMZFuqrf5KIiIgEmJ4KW68A1xlj5gBTgXqn52v5QkiIITk2guTYCIZnxn/lfWstVU3tbKxoYv3ORjZWNrKhoomXl26nsX0bAOGhhhGZCYzNSWR8TiLjcpIYlhFPqOaIiYiI9Ao+CVvGmKeAQiDVGFMG3AqEA1hr/w28DpwGFAMtwBW+aDfQGWNIj48iPT6KY4ak7n7dWkvZrlZWltezoqyeFWV1/G/Zdp78zBPAEqLCKMhLZkq+5zamfyIRYVoSTUREJBj56mzEi77mfQtc64u2egNjDLneOV2njc0CPIckt9Q0s6y0joVbavlscy3vr6sEPPPAJg3ox7FDU5k2NI1RWQk6O1JERCRIBNQE+b4sJMQwKC2OQWlxfGNSDgBVje0s8gavT0tquOPN9dzx5npS4yI4dkgqxw1N47hhqaTHRzlcvYiIiOyPwlYAS4uP5NSxWZzqHf2qbGjjw43VfLixig83VvPSsu0AjMtJ5KSRGZw0OoPhGfE641FERCSAKGwFkfSEKM6dnMO5k3Nwuy1rdjTwwYYq3llTwZ3vbODOdzYwIDmGk0ZlcNKoDI7IS9ZEexEREYcpbAWpkBDDmOxExmQncu30IVQ0tPHu2greWVPBf+dv5cGPNpMaF8kZ47I4c3wWE3P7aZ6XiIiIAxS2eomMhCi+PXUg3546kKb2Lj5YX8WrK7bz5IJtPPLJFrKTojljfBZnjuvP6P4JOtQoIiLSQxS2eqG4yDBOH5fF6eOyaGzr5J01Ffxv+XYe/HAz931QwqDUWM6emM25k3PITop2ulwREZFeTWGrl4uPCucbk3L4xqQcdjV38Obqnby8rJy73tnA3e9u4NghqXyzIJeTR2UQFa6V7EVERHxNYasP6RcbwUVTBnDRlAGU1rbw3OIynltcxvVPLSUhKoyzJ2bzzcm5jMnWYUYRERFfUdjqo3KTY/jRScO44YShfLKphmcXlzJnYSmPzd/K6P4JXHLkQM6a0J+YCP0XERERORz6TdrHhYQYjh2ayrFDU/ldSyevLC/nic+28bMXVvKH19dy3uQcLjlyIIPS4pwuVUREJCgpbMluiTHhXHJUHhcfOZBFW3fx2PytPP7pVh7+eAvHDknlkqMGcsKIdMJCdZ1GERGR7lLYkq8wxnBEXjJH5CVT2TiSpxeU8uSCbXznv4vJTormimPyuOCIXOKjwp0uVUREJOBpiEIOKD0+ih+cMJQPb57Ovy+eTHa/aG57bS1H/fF9bnt1DeV1rU6XKCIiEtA0siXdEhYawswxmcwck8mKsjr+8+FmHv5kCw9/soXTxmZxzXH5jMtJcrpMERGRgKORLTlo43KS+PtFE5l383SuPCaPonWVnPWPj7ngvvl8sKEKa63TJYqIiAQMhS05ZNlJ0fzi9FF8cssMfnn6SLbVtnDZQwuY9c+PeXPVTtxuhS4RERGFLTls8VHhXH3cIIp+Usjt3xhLfWsn3318MTPvmcdLS8vpcrmdLlFERMQxClviM5FhoVw4ZQDv3Xg891w4AYAfPr2ME+76gKcWbKO9y+VsgSIiIg5Q2BKfCwsNYdaEbN68YRr3XTKZxOhwbnlhJYV/LuLxT7fS0aWRLhER6TsUtsRvQkIMp4zO5OVrj+GxK6fQPymaX760ihl3FvHMwlIdXhQRkT5BYUv8zhjz/+3dd3xUVf7/8ddJh4QESA8JpJAQSCgxAURa6AER7GsvoKz7s67uurqubfW7a0XU9WvFthZ0XRREOkhHOkgCAQKhJAFChwRC2vn9kXxXZIOiKTPJvJ+PxzyYO3OZ89HDvfOee889l34JwXxxRy/eu7U7rX29ePDf3zN4/EK+XJdHhQbSi4hIE6awJQ3GGMOADiFMubM3b92Yio+nO7//bAPDJizim+/36upFERFpkjSpqTQ4YwxDk8IY3DGUGZn7eGnuVu78ZC2JYS34U0YiaJ4uERFpQurkyJYxJsMYs8UYk2OMeaiG928xxhwwxqyvftxWF+1K4+bmZri4Sziz7uvHhN9041RZBbe+v4pnV5WwYc9RR5cnIiJSJ2odtowx7sBrwHCgE3CtMaZTDat+Zq3tVv14p7btStPh7ma4NKUNc37fn7+OTiK/qJLRry3lzo/XsvNgsaPLExERqZW6OI3YA8ix1u4AMMZMAkYDm+rgs8WFeHm4cVOvaIKLc9ls2/DO4h3MytrHtT3acs+geIJbeDu6RBERkV+sLk4jtgH2nLGcV/3a2a4wxnxvjPnCGBNVB+1KE9XMw3D/kAQW/DGda3pE8cnK3aQ//y0T5m6l+HS5o8sTERH5RUxtbxpsjLkSyLDW3la9fCPQ01p71xnrBAJF1trTxpjfAr+x1g6s4bPGAeMAQkNDUydNmlSr2s5HUVERfn5+9d6OnL+z+2RfcSVfbC1l9f4K/L0Ml8d70i/SAzdjHFil69G24pzUL85HfeKc6rtfBgwYsMZam1bTe3URtnoBT1hrh1UvPwxgrf37OdZ3Bw5bawN+6nPT0tLs6tWra1Xb+ViwYAHp6en13o6cv3P1ybrdR/jb9M2s2nmExLAWPDayExe1D2r4Al2UthXnpH5xPuoT51Tf/WKMOWfYqovTiKuAeGNMjDHGC7gGmHpWAeFnLI4CNtdBu+JiUtq24vPf9uJ/r7+AotPlXPfOCm7/cDW5GkQvIiJOrNZhy1pbDtwFzKIqRH1urc0yxvzVGDOqerV7jDFZxpgNwD3ALbVtV1yTMYYRncOZe39/HszowLKcgwx9aSFPT9vEsVNlji5PRETkv9TJpKbW2unA9LNee+yM5w8DD9dFWyIAPp7u/L/09lyZGsn42VuZuDSXyevy+f2QBK7tHoWHu26OICIizkHfSNKohbTw4ZkrujDt7j4khPrx6FeZjHhlMUu2HXR0aSIiIoDCljQRSREBfHr7hbx5YyolZZXcMHEFv/toDflHTzm6NBERcXEKW9JkGGMYlhTG7N/34w9DE/h2SyGDXlzAP+Zvo6SswtHliYiIi1LYkibHx9OduwbGM++BdAYmhvDC7K0Mm7CI+dn7HV2aiIi4IIUtabLatGzG/16fyj/H9sDDzTDm/dWMfX8Vuw5pqggREWk4ClvS5PWND2bGvf3484hEvttxiCHjF/Hi7C2cKtWpRRERqX8KW+ISvDzcGNcvjvl/SGdE5zBenZ/D4PELmbFxL7W9i4KIiMhPUdgSlxLq78OEa1L4bNyFtPDx4Hcfr+Wmd1dqFnoREak3ClviknrGBjLt7j48cUkn1u8+yrAJi3h57jZOl+vUoohIUzI/ez/vLc11aA0KW+KyPNzduKV3DPMe6M+wpDBemruVjAmaEFVEpCnIP3qKcR+uZsz7q/nX6jwqKh03ZERhS1xeiL8Pr16bwodjelBpLTdMXMG9k9ZReKLE0aWJiMgvVFZRyZsLtzNk/EIWbTvAnzIS+erO3ri7GYfVVCf3RhRpCvolBDPrvn68vmA7ry/YzvzsQh4c1oHrerZz6EYqIiLnZ+3uI/x58kay951gcMdQnhjVichWzR1dlsKWyJl8PN35/ZAERneL4NEpmTw6JYsv1uTxP5d1JrlNgKPLExGRGhwvKeP5mVv4aMUuwvx9eOvGVIYmhTm6rP9Q2BKpQWywHx+N7cnUDQU8NW0To/6xhJt6RfPA0ARa+Hg6ujwREQGstczM3McTX2dx4MRpbrkomgeGdsDP27nijXNVI+JEjDGM7taG9A4hvDBrCx8s38n0jXt5/JIkRnQOwxidWhQRcZSCo6d4bEomczcX0incn7dvSqNLZEtHl1UjhS2RnxHQzJOnLk3mitRIHvlyI3d+spb+CcE8fWkyUa0dPxZARMSVVFRaPli2kxdmb8FaeGRER27tHY2Hu/Ne86ewJXKeukW1ZMqdvflw+S5enL2FIS8t5P4hCYzpHePUG7mISFORmX+MP3+5ke/zjpHeIZinRjeOH70KWyK/gIe7G2P6xJCRHMZjU7L42/RsvlpXwDNXdHbaw9ciIo3dydJyXpqzlXeX7qRVcy9evTaFkV3CG81wDoUtkV8homUz3r4plVlZ+3hsShaXvraUWy6K4YGhCfg62cBMEZHG7NvsQv7yVSb5R09xbY+2PJSRSEDzxnWhkr4VRH4lYwwZyeFc1D6I52Zm896yXGZm7uWpS5MZ1DHU0eWJiDRqhSdKePLrTXzz/V7ah/jxrzt60T26taPL+lU00ESklvx9PHn60s58cUcv/Hw8GPvBau78eC2FxzUDvYjIL1VZaflkxW4Gv7iQOZv2c/+QBL65p0+jDVqgI1sidSa1XWum3d2XtxZt55X5OSzadoCHhidybfe2uGkGehGRn7Vt/wkenryR1buO0Cs2kP+5LJnYYD9Hl1VrClsidcjLw427BsZzcZcI/jx5I498mcmXa/P52+WdSQht4ejyREScUklZBa99m8MbC7fj6+3B81d24crUyEYzAP7n6DSiSD2ICfLlk9t78vyVXcg5UMTFryxm/OwtlJRVOLo0ERGnsiznIMNfXsyr83O4pEsE8+7vz1VpUU0maEEdhS1jTIYxZosxJscY81AN73sbYz6rfn+FMSa6LtoVcWbGGK5Ki2Le/f0Z2SWCV+bnMOLlxSzffsjRpYmIONzh4lIe+HwD172zgkpr+WhsT8b/phuBft6OLq3O1TpsGWPcgdeA4UAn4FpjTKezVhsLHLHWtgdeAp6tbbsijUWgnzcv/aYb/xzbg/JKy7Vvf8eDX2zg6MlSR5cmItLgrLVMXpvH4PELmbI+nzsHxDHrvn70iQ9ydGn1pi6ObPUAcqy1O6y1pcAkYPRZ64wGPqh+/gUwyDSl44Mi56FvfDCz7uvHHf3j+PfafAa9WLWjsdY6ujQRkQax82AxN0xcwf2fbyA6sDnf3NOXPw5LxMfT3dGl1StT2x29MeZKIMNae1v18o1AT2vtXWesk1m9Tl718vbqdQ6e9VnjgHEAoaGhqZMmTapVbeejqKgIP7/Gf6VDU+IKfbL7eAXvZ5Wy41glyUHu3NzJi+Dmzj2E0hX6pTFSvzgf9cl/K6+0zMgtY+r2Mjzc4KoEL9KjPHBrwOMu9d0vAwYMWGOtTavpPae6GtFa+xbwFkBaWppNT0+v9zYXLFhAQ7Qj589V+uT6kZZ/Lt/J87O28Ojy09w3OIGxfWLwdNL7LLpKvzQ26hfnoz75sTW7DvPw5I1s3V/GiM5hPH5JEqH+Pg1ehyP7pS7CVj4QdcZyZPVrNa2TZ4zxAAIAjRIWl+buZrildwxDk8J4fGoWz8zI5qt1+fz98s6ktG3l6PJERGrl2KkynpuZzScrdxPu78PEm9Nc9u4adfETehUQb4yJMcZ4AdcAU89aZypwc/XzK4H5VgNVRID/u89iGm/ckMrRk2Vc/voyHpuSyYmSMkeXJiLyi1lrmb5xL0PGL+TTlbsZ0zuGOff3d9mgBXVwZMtaW26MuQuYBbgD71prs4wxfwVWW2unAhOBfxpjcoDDVAUyETlDRnIYvdsH8uLsrXywfCezsvbx5KgkhiWFNan5ZkSk6co7cpLHpmQxP7uQpAh/Jt7cnc6RAY4uy+HqZMyWtXY6MP2s1x4743kJcFVdtCXSlLXw8eSJUUlcmtKGhydv5I6P1jK4YwhPjk6mTctmji5PRKRG5RWVvLd0J+PnbMUY+MvFHbnlomg8nHQMakNzqgHyIlKlW1RLvr6rN+8uzeWlOdsYMn4hDwztwM292mnnJSJOZcOeozw8eSOb9h7Xj8NzUNgScVIe7m6M6xfH8ORwHp2SyVPTNvHlujyeubwLyW10WF5EHOtESdl/hj2EtPDmjRsu0LCHc1DYEnFyUa2b894t3flm416emLqJUf9Ywq29Y7h/SAK+3tqERaThzczcxxNTs9h/ooSbLmzHA8M64O/j6eiynJb21CKNgDGGkV0i6BsfzLMzs5m4JJcZG/fy19HJDO7kulf4iEjDKjh6isenZjFn034Sw1rw+g0XaKqa86CwJdKIBDTz5G+XdeaKC6oG0N/24WqGJ4fxxCjHTBIoIq6hotLywbKdvDh7CxXW8vDwRMY48STMzkZhS6QRSm3Xmml39+XtxTt4Zd42Fm87yIMZHbi+Zzvc3TReQkTqTmb+MR6evJGN+cdI7xDMU6OTiWrd3NFlNSoKWyKNlJeHG3cOaM/FncP5y1eZPDYli8lrq2ag7xju7+jyRKSRKz5dzvg5W3lvaS6Bft7847oULu4crgHwv4LClkgjFx3kyz/H9uCr9fk8NW0zl7y6hNv6xnLvoHiaebk7ujwRaYTmbNrP41MyKThWwvU92/JgRiIBzTQA/tdS2BJpAowxXJYSSXpCCH+fsZk3Fm7n6w0FPDEqiSEaQC8i52nP4ZM8+XUWczcX0iG0Bf++LoXUdq0dXVajp7Al0oS08vXiuSu7csUFkfzlq0xu/3A1gxJDeGJUksZYiMg5nS6v4O1FO3h1fg7uboZHRnTklt7RGgBfRxS2RJqgnrGBTL+3L+8tzWXC3G0MHr+Quwe25/Z+sXh76NSiiPxgybaDPDYlkx0HixnROYxHR3YiPEAzwNclhS2RJsqzegb6S7pG8NS0TbwweyuT1+bz5Ogk+sYHO7o8EXGw/cdLePqbzXy9oYDowOZ8MKYH/RO0b6gPClsiTVx4QDP+9/pUFm49wONTMrlx4kou7hLOoxd3IixAc3OJuJryiko+WL6Ll+ZspbSikt8PTuC3/WPx8dRR7/qisCXiIvonBDPzvn68tWgHr32bw4LsQn4/JIGbL9K4DBFXsWbXYR75MpPsfSdI7xDMk6OSaBfo6+iymjyFLREX4uPpzj2D4rm0Wxue+DqLp7/ZzL9W5/H0Zcl0j9YVRyJN1eHiUp6dkc1nq/cQEeDDGzekMiwpVHNmNRCFLREX1DawORNvTmPOpv08+fUmrnpjOZdf0IaHMhIJ0W1/RJqM8opKPl6xmxdnb+FkaQV39I/jnkHtae6lr/+GpP/bIi7KGMPQpDD6xAfxj/k5vLM4l1mZ+7hnUDy39o7By0OnFkUas2XbD/Lk1E1s2X+CPu2DePySTsSHtnB0WS5JYUvExTX38uDBjESuTovi6W828fcZ2UxatYfHRnZiQGKIo8sTkV8o78hJ/j49m2827iWyVTPevDGVoZ10ytCRFLZEBKi67c87N3dnwZZC/jptE7e+v4oBHYJ5dGQnYoP9HF2eiPyMkrIK3ly4g9cX5gDwwJAEbu+nqwydgcKWiPxIeocQLooL4oNlO3l53jaGTVjEmN4xdPOyji5NRGpgrWVm5j6e/mYz+UdPMbJLOA+P6EiblpqY1FkobInIf/HycOP2frGMTong+ZlbeHPRDgK8DcWt8rg8pQ1ubjodIeIMtuw7wZNfZ7Fs+yESw1owadyFXBgb6Oiy5CwaASsi5xTSwofnr+rKV3f2JtDH8Id/beCy15exeudhR5cm4tIOnDjNn7/cyPCXF5FVcJynRicx7e4+ClpOSke2RORndYtqyV8u9OGwfzzPzczmyjeWMzw5jIeGJ2pCRJEGVFJWwcQluby+YDslZRXc1CuaewfF08rXy9GlyU+oVdgyxrQGPgOigZ3A1dbaIzWsVwFsrF7cba0dVZt2RaThuRnDlamRjOgcxtuLcnlj4Xbmbt7PTb2iuXtge1o2185epL5UVlq+/r6A52ZuIf/oKYZ0CuXh4Ym6eKWRqO2RrYeAedbaZ4wxD1Uv/6mG9U5Za7vVsi0RcQLNvTy4d3A81/aI4sXZW3l3aS5frMnjnkHx3HhhO83PJVLHVu08zNPTNrEh7xhJEf68cFVXesXpdGFjUtu94mjgg+rnHwCX1vLzRKSRCPH34dkruzD9nr50iQzgqWmbGPLSQmZs3Iu1unJRpLZ2HSrmdx+t4ao3lrP/+GlevKorX9/VR0GrETK12SkaY45aa1tWPzfAkf9bPmu9cmA9UA48Y6396hyfNw4YBxAaGpo6adKkX13b+SoqKsLPT4dhnYn6xDn9VL9Ya9l4sIJJW0opKLIktHLjqgQv4ltpfp/6pu3F+dS2T46dtkzdXsqCPeV4uMGIGE8yYjzxdtdVwLVR39vKgAED1lhr02p672fDljFmLhBWw1uPAB+cGa6MMUesta1q+Iw21tp8Y0wsMB8YZK3d/lPtpqWl2dWrV/9kbXVhwYIFpKen13s7cv7UJ87pfPqlvKKSz1bvYcLcbRw4cZqBiSH8cVgHOob7N0yRLkjbi/P5tX1yvKSMtxftYOKSXE6XV3JN9yjuHRSv+5XWkfreVowx5wxbPztmy1o7+Cc+eL8xJtxau9cYEw4UnuMz8qv/3GGMWQCkAD8ZtkSk8fFwd+P6nu24LKUN7y/byRsLtjPilcWM6hrB/UMSdOWiSA1Kyir46LtdvPZtDkdOljGySzgPDO1ATJC2l6aitgPkpwI3A89U/znl7BWMMa2Ak9ba08aYIKA38Fwt2xURJ9bcy4P/l96e63u0441F23lvaS7ffL+Xa3pEcc9A/VIXgaojwZPX5TNhzlYKjpXQNz6IB4cl0jkywNGlSR2rbdh6BvjcGDMW2AVcDWCMSQPusNbeBnQE3jTGVFI1IP8Za+2mWrYrIo1AQHNP/pSRyK0XRfPq/Bw+XbmbL9bkcWvvGO7oF0dAc09HlyjS4CorLdMz9zJh7jZyCovoGhnAC1d15aL2QY4uTepJrcKWtfYQMKiG11cDt1U/XwZ0rk07ItK4hfj78NSlydzWN4aX5mzljYXb+fi7XYztE8stvaMJaKbQJU1fZaVlRuY+Xp63la37i2gf4sfr119ARnIYVdeYSVOlGeRFpMG0C/RlwjUp/LZ/HOPnbOWluVt5Z8kOxvSOYUyfGIUuaZIqKy2zsvbx8rxtZO87QVywLy9f042RXSJw131GXYLClog0uI7h/rx9UxpZBcd4Zd42Xp63jXeX5nJr7xjG9o7R6UVpEqy1zMraz8vztrF573Fig3yZ8JtuXNJVIcvVKGyJiMMkRQTw5o1pbCo4zivztvHKvG28tySXW3pHM7ZPjG4BJI1SpbVM37iX177NIavgONGBzRl/dVdGdY3Aw113WHBFClsi4nCdIvx548ZUNu+tCl2vzs/hvaU7ub5nW8b0iSFUVy9KI1BaXslX6/IZv/gU+06uJTqwOS9c1ZVLuylkuTqFLRFxGh3D/Xn9hlSy9x3n1fk5vL14B+8t3cllKW0Y1z+WON10V5xQ8elyPl25m3cW57LveAnt/N34x3XdGJ4crtOFAihsiYgTSgzz57XrLmDXoWLeXryDf63O4/M1exjaKZQ7+seR0va/blQh0uCOFJfy/rKdfLB8J0dPltEzpjXPXtmFyvxMBnSJcHR54kQUtkTEabUL9OXpSztz3+AE3l+6kw+X72RW1n56xrTmjvQ40hOCdcm8NLjcg8W8vzSXf63J42RpBYM7hvK79DhS21X9CFhQoH+T8mMKWyLi9IL8vPnDsA7ckR7HpJW7mbgkl1vfW0V8iB+39I7mspQ2NPfS7kzqj7WW5dsPMXFJLvO3FOLhZrikawS/7RdHh7AWji5PnJz2TiLSaPh5e3Bb31hu6hXNtO8LeG/pTh75MpNnZ2RzTY+23HhhO6JaN3d0mdKElJRVMHV9Ae8uzSV73wkCfb24e2A8N1zYlpAWunBDzo/Clog0Ol4eblx+QSSXpbRh7e4jvLt0JxOX5PLO4h0M7hjKLb2j6RUbqFOM8qvtOXySSat2M2nlHg4Vl5IY1oLnruzCqK4R+Hi6O7o8aWQUtkSk0TLGkNquNantWrP32Ck++m4Xn6zYzexN+2kf4se1PdpyeUobWvlqvi75eeUVlXy75QAfr9jFwq0HMMDAxFDG9I6mV5zCu/x6Clsi0iSEBzTjj8MSuXtgPFM3FPDJit08NW0Tz87MZnhyGNf2aEvPmNb6wpT/su9YCZNW7eazVXvYe6yEUH9v7h4YzzXdo4ho2czR5UkToLAlIk2Kj6c7V6dFcXVaFJv3HmfSyt1MXpfPlPUFxAb5ck2PKC6/IJIgP29HlyoOdLq8gnmbC5m8No9vtxygotLSLyGYJ0YlMSgxRJOQSp1S2BKRJqtjuD9Pjk7moeEdmb5xL5+u3M3fpmfz7Mwt9E8I5tKUNgzpGEozL43BcQXWWtbtOcrktXl8vWEvx06VEervzbh+sVzbvS1tA3VxhdQPhS0RafKaeblzRWokV6RGsm3/iaojXevyuSe7ED9vDzKSw7g8pQ09YwM143cTlHfkJFPWF/DvtXnsOFCMj6cbw5LCuOKCSHq3D1KfS71T2BIRlxIf2oI/ZSTyx6EdWJF7mC/X5TFj4z6+WJNHmL8Pl3QNJyM5nJSolrjpS7jRyjtykhkb9/HNxr2s33MUgB7Rrfltv1hGdA6nhY+nYwsUl6KwJSIuyc3N0CsukF5xgfx1dDJzN+/ny7X5vL9sJ28vziXM34dhSaFkJIfTI6a1jn40AjUFrKQIfx7M6MDIzhE6TSgOo7AlIi7Px9OdkV0iGNklgmOnypifvZ8ZG/cxadUePli+i0BfL4YmhTI0KYxesYGaZ8lJWGvJKjjOvM2FzMvez/d5x4AfAtaI5HCig3wdXKWIwpaIyI8ENPPkspRILkuJpPh0OQu2HGBG5l6mri/g05V78PF046K4INI7BDOgQ4hmrG9gp0orWJpzkHnZhczP3s/+46cxBrpGtlTAEqelsCUicg6+3h5c3CWci7uEU1JWwfIdh1i45QDzswuZn10IZBEX7Ev/hBAuigukR2xr/DUWqE6VV1SyMf8YS3MOsjTnEGt2HaG0ohJfL3f6JQQzMDGE9A4hBLfQVB7ivBS2RETOg4+nOwM6hDCgQwiPX9KJ3IPFLNhygG+3FPLRil28uzQXNwPJbQLoFRvIhXGBdI9ujZ+3drO/RHlFJdn7TrBq52GWbT/Ed9sPceJ0OVA1lcdNvdqR3iGE7jGt8PbQ6VxpHLQXEBH5hYwxxAb7ERvsx5g+MZSUVbB29xG+236I5TsO8e7SXN5ctAN3N0OH0BaktG1Jt6iWpLRtRWyQr65yPMOxU2Ws232ENbuqHuv3HOVkaQUAUa2bMbJrOBfFBXFRXCCBmohWGimFLRGRWvLxdK8OBEFA1biiNbuOsCL3EOv3HGXq+gI+XrEbAH8fD7pGtaRThD+dwv3pGO5PbJCvS8xYfuDEaTILjrGp4DhZBcfIKjjOrkMnAXAz0CnCn6tSI0mNbk1qu1a00a1ypImoVdgyxlwFPAF0BHpYa1efY70M4GXAHXjHWvtMbdoVEXFmzbzc6RMfRJ/4qvBVWWnZfqCIdbuPsm7PEdbvOca7S3Ipq7AAeHm4kRDqR2KYP3HBfsQENSc6yJfoQN9Gd+WjtZa9x0rYfqCI7YVFbD9QzPYDReQUFlF44vR/1mvbujlJ1eHqgrat6BrVEl+dcpUmqrb/sjOBy4E3z7WCMcYdeA0YAuQBq4wxU621m2rZtohIo+DmZogPbUF8aAuu7h4FQGl5JdsPFJG97zib955g897jLNx6gC/W5P3o74YH+BAd6EubVs0ID/AhLMCHMP8f/qy0tsH+O6y1HC8p53BxKQdOnKbg6Cnyqx8FR0+Rf+QUeUdOcaqs4j9/p4WPB3HBfvSND6ZThD9JEf50ivDXhQTiUmoVtqy1m6Fq/MJP6AHkWGt3VK87CRgNKGyJiMvy8nCjY/VpxMtSfnj9REkZOw+eJPdQMTsPVj1yDxWzZNtBCk+UUHlWtjJAwOLZtGzmSUBzL1o196RlM0+ae3vg4+GOt6cb3h5u+Hi64+3hhrubwdqq4GSByurnZRWWU6XlnCyt4GRZBSdPVz0vOl0Vrg4Vl3KkuJTyswsAWvt6EdHSh5ggX/rGBxMb7EtcsB9xIb4E+3n/3HeESJNnbB38KjLGLAD+UNNpRGPMlUCGtfa26uUbgZ7W2rtqWHccMA4gNDQ0ddKkSbWu7ecUFRXh5+dX7+3I+VOfOCf1i+NVVFqOl1oOl1Q9jpRYDhefptR4UlxqKS6D4jJLUZnldIWlrBJKK6DiPHfzBvByB2938HY3eLuDj4ehhVf1w/P/nkOAt6G1jxuBPgZvD4WpM2lbcU713S8DBgxYY61Nq+m9nz2yZYyZC4TV8NYj1toptS3uTNbat4C3ANLS0mx6enpdfnyNFixYQEO0I+dPfeKc1C/O6Xz6paLSUlpeSUlZBRXWYgA3YzCm6syEMeDp5oaPp5uOQtUBbSvOyZH98rNhy1o7uJZt5ANRZyxHVr8mIiINwN3N0MzLnWZejWuwvUhT0RDXGq8C4o0xMcYYL+AaYGoDtCsiIiLicLUKW8aYy4wxeUAv4BtjzKzq1yOMMdMBrLXlwF3ALGAz8Lm1Nqt2ZYuIiIg0DrW9GvFL4MsaXi8ARpyxPB2YXpu2RERERBqjpj9lsYiIiIgD1cnUD/XBGHMA2NUATQUBBxugHTl/6hPnpH5xTuoX56M+cU713S/trLXBNb3htGGroRhjVp9rXgxxDPWJc1K/OCf1i/NRnzgnR/aLTiOKiIiI1COFLREREZF6pLBVPWO9OBX1iXNSvzgn9YvzUZ84J4f1i8uP2RIRERGpTzqyJSIiIlKPFLZERERE6pHLhi1jTIYxZosxJscY85Cj6xEwxrxrjCk0xmQ6uhb5gTEmyhjzrTFmkzEmyxhzr6NrcnXGGB9jzEpjzIbqPnnS0TXJD4wx7saYdcaYaY6uRaoYY3YaYzYaY9YbY1Y3ePuuOGbLGOMObAWGAHlU3Sz7WmvtJocW5uKMMf2AIuBDa22yo+uRKsaYcCDcWrvWGNMCWANcqu3FcYwxBvC11hYZYzyBJcC91trvHFyaAMaY+4E0wN9aO9LR9UhV2ALSrLUOmWzWVY9s9QByrLU7rLWlwCRgtINrcnnW2kXAYUfXIT9mrd1rrV1b/fwEVTeUb+PYqlybrVJUvehZ/XC9X85OyBgTCVwMvOPoWsR5uGrYagPsOWM5D315iPwsY0w0kAKscHApLq/6VNV6oBCYY61VnziHCcCDQKWD65Afs8BsY8waY8y4hm7cVcOWiPxCxhg/4N/Afdba446ux9VZayustd2ASKCHMUan3h3MGDMSKLTWrnF0LfJf+lhrLwCGA3dWD1tpMK4atvKBqDOWI6tfE5EaVI8L+jfwsbV2sqPrkR9Ya48C3wIZDi5FoDcwqnp80CRgoDHmI8eWJADW2vzqPwuBL6kaTtRgXDVsrQLijTExxhgv4BpgqoNrEnFK1YOxJwKbrbXjHV2PgDEm2BjTsvp5M6ou9sl2aFGCtfZha22ktTaaqu+V+dbaGxxclsszxvhWX9yDMcYXGAo06FXvLhm2rLXlwF3ALKoG+35urc1ybFVijPkUWA50MMbkGWPGOromAap+rd9I1a/09dWPEY4uysWFA98aY76n6sfjHGutphkQqVkosMQYswFYCXxjrZ3ZkAW45NQPIiIiIg3FJY9siYiIiDQUhS0RERGReqSwJSIiIlKPFLZERERE6pHCloiIiEg9UtgSERERqUcKWyIiIiL16P8DCELa8wMfDT8AAAAASUVORK5CYII=\n", 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종로구177216.5789471537891446839106278185.92110018.088420
용산구238363.33104923728522295314332390706.03999416.465432
성동구360228.5051732926722859906682463802.28310215.847092
광진구258855.06291235262733999612631517233.58197214.667907
동대문구249724.72527535200633740014606622114.14936117.673278
\n", + "
" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "구별 \n", + "종로구 1772 16.578947 153789 144683 9106 27818 5.921100 18.088420\n", + "용산구 2383 63.331049 237285 222953 14332 39070 6.039994 16.465432\n", + "성동구 3602 28.505173 292672 285990 6682 46380 2.283102 15.847092\n", + "광진구 2588 55.062912 352627 339996 12631 51723 3.581972 14.667907\n", + "동대문구 2497 24.725275 352006 337400 14606 62211 4.149361 17.673278" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "ba31f8e7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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+sfFJNu4+0o2p1GbX8AQ77G3X2ddy2Nfy2Nu5nfTxmuqCyoS8iLgFeEzb4sdl5kXF+oPAo4FLIuK2Yv3VwL8Czm+b6zAw2DbXxcDazBzvcumSJEmVU5mQl5lXti9rCXMAr2Tq9PIRYEex7IEZ5trWYa4jwMTZ1ilJktQPqn5N3rfry8zTwLeAxwPrgWcBdwC75ztZZma3C5QkSaqinh/Ji4jLgD0zrP43EdEE9mXmUWAX8D+B/cALMvMPI+JFtJ2uncFkN+qVJEnqBz0PeZl5DDg225iIWBURvwx8T2bujIhnAe+PiJ9tG9ceGNcDp4FTxfom3wmMkiRJtRVVOYMZEZ8Gvtq2eH1mfm9EnAO8CHgfMJ6ZD0TEdxXjrwTOz8ybOsx5DXDPXKEuInYCOwGGhlZv2Xvg4Fl+GnWyZgDuH+t1FfVjX8thX8tjb+c2vO7CBW8zOjrK4GD7PYc6W1Xv68jIyPHM3NppXc+P5LX4amZe2rogIo4CZOYE8HsR8VKmgt1tmfnlYtjNZ7vjzLwRuBFgw6bNuf/uKrWlPnYNT2Bvu8++lsO+lsfezu3k9saCt2k2mzQaC99Os+vnvlb9xgtJkiQtQpX+KbWhuGau1aYO4/YWR/Ra3ZmZbyqnLEmSpP5TmZCXmf/vPMbcANywgGkPAX75sSRJWnYqE/LKkJmjC91mYNVKTvg4mVI0m81FXWei2dnXctjX8thbaWl4TZ4kSVINGfIkSZJqyJAnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqyJAnSZJUQ7V+du1ijI1PsnH3kV6XUUu7hifYYW+7zr6Ww76Wx97O7qTPT1eXVCbkRcRhYLBt8cXA2swcj4hVwB0dNn0y8K8zc2K+c3WrZkmSpKqqTMjLzG3tyyLiCDBRrB8HLu0w5uhC55IkSaq7yoS8mWRmAkTEAHAEeKhtyJOAXMhckiRJdVf1kDfZ8nolcDozn9OFuSRJkmoten1wKyIuA/a0LFoPnAZOtSzbB3wE+L/A/+4wze7M/MR858rMM07xRsROYCfA0NDqLXsPHFzkp9Fs1gzA/WO9rqJ+7Gs57Gt57O3shtdduKjtRkdHGRxsvxxdZ6vqfR0ZGTmemVs7ret5yGsXEdcA97QHsbYxVwHnZOZNZztXuw2bNueKK6+f73AtwK7hCfbfXfWDx/3HvpbDvpbH3s5usXfXNptNGo1Gd4tR5fsaETOGPL8nT5IkqYb64p9SHU7DTi/f0fL2YadhJUmSlqu+CHmZeQw41us6JEmS+kUVQ94hoFtfWNzNuSRJkvpG5UJeZo72cq6BVSs54SNlStFsNjm5vdHrMmrHvpbDvpbH3kpLwxsvJEmSasiQJ0mSVEOGPEmSpBoy5EmSJNWQIU+SJKmGDHmSJEk1ZMiTJEmqIUOeJElSDRnyJEmSasiQJ0mSVEOVe6xZr42NT7Jx95Fel1FLu4Yn2GFvu86+lsO+lmc59vakj8tUD/TkSF5EPDIi1vVi35IkSctBqUfyIuIRwA3AGmAD8E3ga8CjgfcC1xXjTgBfaNv865n5gpa5ng+8bIZdvS0zb20ZexgYbBtzMbA2M8cX+3kkSZL6Rdmna18L3JyZfxwR5wEfBq4BhoBLWsZ9ITMvnW2izHxPRHwIeFZmvhsgIl4IfDAzT7WN3da+fUQcASbO4rNIkiT1jbJP124E/gQgM/8F+CjQ6Uja6ohodvhZ2TZuFfDclvfPAc6dbzGZmQuqXpIkqU+VfSTvd4HXR8SbgO8Bns7UadNHA++NiPOBRwHPmmH71RHx9cwcK94/wJmnYQeLZfMxucDaJUmS+laUfXArIp4EXAZ8Bbg1M8ci4hnADwIfAF40xxS3ZubxiLga+AngkUAUPw8B3wBuy8y3RMRlwJ6WbdcDp4HW07n7MvNoW407gZ0AQ0Ort+w9cHBxH1azWjMA94/NPU4LY1/LYV/Lsxx7O7zuwtL3MTo6yuBg++XoOltV7+vIyMjxzNzaaV3pIQ8gIl4BXAEkU6eIPw3szczTxfp1TN1U8YRik78Gfjsz75thvquAczLzpjn2ew1wT3uom82GTZtzxZXXz3e4FmDX8AT77/Zbe7rNvpbDvpZnOfZ2Kb5Cpdls0mg0St/PclP1vkbEjCGv9K9QiYgrgc3AszPzR4obLD4NvLFl2K3AB4Htxc8x4Laya5MkSaqrpfin1ADwjcxsvbP1VLGc4uaKc4GPtxzZ+wSwKiJWZeZ4h9OwFON2tLx92GlYSZKk5WopQt47gb0R0QQeBFYy9Z14vwCQmZMR8WrgcEREy3Z7pr/TLjOPMXV0T5IkSfNQesjLzIeAX5ljTFkh7hCdv7JFkiSp1mp95Wtmji50m4FVKznhMwZL0Ww2Obm90esyase+lsO+lsfeSkujJ8+ulSRJUrkMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqyJAnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVU68eaLcbY+CQbdx/pdRm1tGt4gh32tuvsaznsa3nq3tuTPhpTFdGTI3kRsS4its4x5oKI+OGlqkmSJKlOluRIXkQczczLWxY9DrgE+EREHG2p41RmXlksezHwU8AHW+Y5Afxj2/TrM3Nz2/4OA4Nt4y4G1mbm+Nl+HkmSpKpbqtO15862MjMvnec8/7ctLFIEwvb5trUvi4gjwMQ89yNJktTXSg95ERHA1og4F3gqcCmwEfi7RUy3MSLualt20Xw3zsxcxD4lSZL6zlIcybsM+CLwPKZOvf4z8BRg3SzbfD9wCPhS68LM/N6zqGPyLLaVJEnqK1Hmwa2IOAe4HXgp8A7g+Zn5jYhoAJdk5nUdrtcjIu4EdgKvz8wdEXEZsKdlyEqmbhppvb5uH1NBrnXceuA0cKp1XGaecYo3InYW+2NoaPWWvQcOLvITazZrBuD+sV5XUT/2tRz2tTx17+3wugt7st/R0VEGB9svR9fZqnpfR0ZGjmdmx5tZSzuSVwS8G4CDmfmFiHg1cFtEXNVh7GamgtsFwOeApOXIW2YeA461jH8OsDEz39Jh163jrgHuaQ917TLzRuBGgA2bNuf+u/1mmTLsGp7A3naffS2HfS1P3Xt7cnujJ/ttNps0Gr3Zd531c1/L/AqVtcBdmXkYIDP/EngNUwGu1XuBq4GfAZ4FPHKmCSPiluLlGDDa5XolSZJqo7R/SmXmvcC9bcs+ATB1L8a3l72tfdvW9W0eU2zzwZkGSJIkqf+eeHFxh7trAX46M/9hyauRJEmqqJ6EvMxsAs1Z1k/fiLGjbfnqBe7qEGfenDGngVUrOeEjaUrRbDZ7dq1KndnXctjX8thbaWn025G8BclMr9uTJEnLUk+eXStJkqRyGfIkSZJqyJAnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqqNKPNYuIIeAxmfk3S7XPsfFJNu4+slS7W1Z2DU+ww952nX0th30tTz/19qTPMlcfq9SRvIh4X9ui7wOubFl/V4dtjnZYdjgi7mr7+UpErOp+1ZIkSdVTmSN5EbES2FoEsecDVwOPAm5rGbaxQ9C7qH2uzNzWYf4jwES36pUkSaqyyoQ8pkLdO4HXZeZrgXdHRAO4pGXM14Gb27bbOd8dZGaeZY2SJEl9oechLyJWMBXw1mXmtRHxsxHxO8ArOgz/SaD9lOufznNXk2dRpiRJUl+JXh/ciojzgedk5m0ty9Zn5hcj4qnADwB/D+xp2WwNEMCXWpbtYyrItY5bD5wGTrWOy8wzruOLiJ0URwSHhlZv2Xvg4Fl/Lj3cmgG4f6zXVdSPfS2HfS1PP/V2eN2FvS5h3kZHRxkcHOx1GbVT9b6OjIwcz8ytndb1PORNK47ovQb4EabC2krgU8DuzBxrG3sVcE5m3jTHnNcA97SHutls2LQ5V1x5/cKK17zsGp5g/909P3hcO/a1HPa1PP3U2366u7bZbNJoNHpdRu1Uva8RMWPIq9L/ZT8NXAg0MvMh+PYRtr3AqyNiNXBr6wYRsQN4XGauW+JaJUmSKq1KIS+B09MBr/DNb6/M/ArQaN+o01eoSJIkLXdVCnn/C9gbER9i6qtOVgIngF/saVWSJEl9qDIhr/h6k9cvYtOfn2XdIWB8cRVJkiT1r8qEvMXKzL+dZd3oQucbWLWSE310oW0/aTabnNze6HUZtWNfy2Ffy2NvpaVRqceaSZIkqTsMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqyJAnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTXU948167ax8Uk27j7S6zJqadfwBDvsbdfZ13LY1/JUubcnfaylaqTSR/IiYl1EbO11HZIkSf2mUkfyIuJoZl7esuhxwCXAJ9rGXQWcn5mHZpjnMDDYtvhiYG1mjnevYkmSpGqqVMgDzp1pRUQ8G9hVvH0skBHxouL9gcx83/TYzNzWYfsjwET3SpUkSaquyoS8iAhga0ScCzwVuBTYCPwdQGbeAdxRjHsvkMDzMzPnu4+FjJUkSepnVbom7zLgi8DzgHuA24APtw6IiLXATcDvATcDvxcRG+Y5/2TXKpUkSaq4qMLBrYg4B7gdeCnwDqaO0H0jIhrAJZl5XUT8CrAO+HXgVLHpY4BfBv45M6+NiMuAPS1TrwdOt4wH2JeZR9v2vxPYCTA0tHrL3gMHu/sBBcCaAbh/rNdV1I99LYd9LU+Vezu87sJel7Boo6OjDA62X46us1X1vo6MjBzPzI43qfY85BUB7wbgfZl5OCKeArwBuAp4AkXIa9tmB0Bm3jTH3NcA97SHutls2LQ5V1x5/UI+guZp1/AE+++uzBUCtWFfy2Ffy1Pl3vbzV6g0m00ajUavy6idqvc1ImYMeVU4XbsWuCszDwNk5l8Cr2HqmjtJkiQtQs//KZWZ9wL3ti37BMDUPRbQ4TTs9PIdLW8fdhpWkiRpuep5yJuPzDwGHOt1HZIkSf2i0iEvM5tA8yymOAT45ceSJGnZqXTIO1uZObrQbQZWreREH194W2XNZpOT2xu9LqN27Gs57Gt57K20NKpw44UkSZK6zJAnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqyJAnSZJUQ7V+rNlijI1PsnH3kV6XUUu7hifYYW+7zr6Ww76Wpxu9PenjJ6U59f2RvIi4otc1SJIkVU0ljuRFxI8B1xZvLwICOFm8f3Nm/lFE/HfgB4pljwbem5nXAT8P3N4232FgsG03FwNrM3O86x9AkiSpYioR8jLzSER8EHgh8EymjjD+KfDuzBwrhv0WcEHx+qnAhlnm29a+LCKOABNdLFuSJKmyKhHyIuInge8G7sjMdxbLRoDfiIh7M/PXgXcAH2vZ7Fjx35UR0aQ44jfbfjIzu168JElSBfU85EXEZcDO4u1lEdE+5IkR8b+L1weYOpW7Enh0RDwCmMzMS+exq8kulCtJktQXomoHtyLiKuCczLypbfkOYDPwEDAOnGLqWry3TJ+eLQLjnpbN1gOni7HT9mXm0ba5d1IEzaGh1Vv2HjjYvQ+kb1szAPePzT1OC2Nfy2Ffy9ON3g6vu7A7xdTI6Ogog4Ptl6PrbFW9ryMjI8czc2undZUJeRFxEfCLwAhTR+v+BHhTZn6+Zcxq4BVM3URxDvA3wFsz8+9nmPMa4J72UDebDZs254orr1/sx9Asdg1PsP/unh88rh37Wg77Wp5u9NavUHm4ZrNJo9HodRm1U/W+RsSMIa9KX6FyM3AbU3fQfj9wK/DutjHvYuq6vBcBzyvW3xwRq5awTkmSpMqr0j9TVwKfyswHASLikzw8hD4S+FhmfqsY82ngQeB8pk7hSpIkiVlCXkTsAdrP5R4FLgfIzF+LiDdl5rUP23hxrgVubbnxIoBfbhvzKqaO3E2/PwfYn5nf7FINkiRJtTDbkbyPMPW1JpuBxwJvZ+r76caBHwd+Deh4DngxMvPDwIfnGPNR4FkLmPYQCzzCN7BqJSe81qMUzWaTk9sbvS6jduxrOexreeyttDRmDHmZ+eGI+ApTIemh4v33An8NfH2pCjwbmTna6xokSZJ6Ya5r8t4MfA9wMiLeDNxTfkmSJEk6W7PeXZuZlwOHM/MyOn+ZcDW+f0WSJElnmM9XqHQKchERrwEu6nI9kiRJ6oJZT9dGxE8A/zYirizG/hFTX1nyBeDRwEdLr1CSJEkLNtc1eecD7wEGgHdn5peK5adm3kSSJEm9NmvIy8zfbX0fET+SmR8otyRJkiSdrVmvyYuIlW2LdpdYiyRJkrpkrtO1/xARHy9eP1R2MZIkSeqOuULeX2Xmc6ffRMSHSq5HkiRJXTBXyGv/+pT/JyJ+pG3Zn2Tmgh4dJkmSpHLNFfLa/Svge4Eo3idTz7gtJeRFxEsy821lzD2TsfFJNu4+spS7XDZ2DU+ww952nX0th30tz0y9Pelzw6WuWmjI+2Jm/o9uFxERbwSeUrx9LPCmzDwEPA94W8u4uzLz0rZtjxZP5mhddhgYbNvNxcBajzpKkqTlYK6Q90Db+1IeY5aZr55+HRE3A3fOMHRjRNzVtuxhT93IzG3tyyLiCDBxFmVKkiT1jbm+J+95bYui48AuiYjnA/dm5hdaln0EeHNmvgf4OnBz22Y75zt/ZvqsXUmStCws9HTtG8ooIiJWAK9k6lTtta3rMvOSlrc/Caxq2/xP57mbyUUXKEmS1Gei1we3IuJRwO8D78jM29rWvTUzXx4RlwF7WlatYeqo4pdalu1jKsi1jlsPnObMx7Dty8yjbfvZSXFEcGho9Za9Bw6e1WdSZ2sG4P6xXldRP/a1HPa1PDP1dnjdhUtfTI2Mjo4yONh+ObrOVtX7OjIycjwzt3Za1/OQNy0ingxcB5xbLFoB7M/MOzqMvQo4JzNvmmPOa4B72kPdbDZs2pwrrrx+vsO1ALuGJ9h/90IPHmsu9rUc9rU8M/XWu2vPTrPZpNFo9LqM2ql6XyNixpBXpb/BbgBekJn3AUTEIPCBiPiLzDwVEauBW1s3iIgdwOMyc92SVytJklRhVQp5yZl372brfzPzK0CjfaOImPdROkmSpOWiSiHvauBgREzfWLESeENmfq2HNUmSJPWlyoS8zPw0sJgLMn5+lnWHKOlpHJIkSVVWmZC3WJn5t7OsG13ofAOrVnLCi39L0Ww2Obm90esyase+lsO+lsfeSktjRa8LkCRJUvcZ8iRJkmrIkCdJklRDhjxJkqQaMuRJkiTVkCFPkiSphgx5kiRJNWTIkyRJqiFDniRJUg0Z8iRJkmqo7x9r1m1j45Ns3H2k12XU0q7hCXbY266zr+Wwr9110sdFSkuu74/kRcRFEXFJr+uQJEmqksocyYuIHwT+G1PBM4CHgF/JzI8U6/cDF7dtdl3x30uAj7TMdRgYbBt7MbA2M8e7XrwkSVLFVCbkAW8GrsjMLwNExHcB7we2AmTmroi4IzOfHRE7gG8CLwO+B3hv60SZua198og4AkyU+QEkSZKqokqnaz8KPDciNkXEJuA5xbJWk8V/zwPGMvNKYNd8d5CZ2ZVKJUmSKq4yR/Iy8xcjYiswUiz6q8x8e9uwh4r/ng98KyJuocORvBlMzj1EkiSpHqLXB7ci4jJgzxzD9gE/ADwR+CywDvgG8CngS8AlmXldh7nWA6eBU61zZebRthp2AjsBhoZWb9l74ODiP5BmtGYA7h/rdRX1Y1/LYV+7a3jdhd9+PTo6yuBg+2XTOlv2tRxV7+vIyMjxzNzaaV3PQ95CRcQ24AXAdwFfAz4AvCszv9Vh7DXAPe2hbjYbNm3OFVde351idYZdwxPsv7syB49rw76Ww752V+tXqDSbTRqNRu+KqSn7Wo6q9zUiZgx5lbkmr7h7dq4xzwdeCPxXpq7Z+wXg8cDV5VYnSZLUXyoT8oAt8xizFvhEZp7MzPHM/EfgT5k6fStJkqRClc5FbIiIZofl2zPzvuL1jcC+iPggUzdSBPB54FVLU6IkSVJ/qEzIy8xN8xjzIAsLdIcAv/xYkiQtO5UJeWXIzNGFbjOwaiUnfMZiKZrNJie3N3pdRu3Y13LYV0n9rkrX5EmSJKlLDHmSJEk1ZMiTJEmqIUOeJElSDRnyJEmSasiQJ0mSVEOGPEmSpBoy5EmSJNWQIU+SJKmGDHmSJEk1VNnHmkXElsw83mH572bmz7S8/4/AeZl5azf2OzY+ycbdR7oxldrsGp5gh73tOvtajuXU15M+ylGqpZ6HvIj4QeDXgElgFNiZmV8G3gBc3jLuIPBo4JKIuK1YfDXwr4Dz2+Y8DAy27epiYG1mjpfwMSRJkiql5yEPeBNwRWb+U0Q8A/hvwEsBIuIu4Lcy83bglUydXj4C7Ci2faDThJm5rX1ZRBwBJrpdvCRJUhVV4Zq805n5T8XrTwND0ysy89Ii4JGZp4FvAY8H1gPPAu4Ads93R5mZXapZkiSp0qoQ8t4fEa+PiB8Ffgt48/SKiLgrIq5oGbsL+J/AfuBIZl4O7Jvnfia7VbAkSVLV9fx0bWYeiIiNwHcDr8rMU8Wq+6dvsIiIVcCrgO/JzJ0R8SymwuHPts4VEZcBe1oWrQdOA6eK9U1gX2YeLfEjSZIk9VxU4QxmRPxb4DeYuokiip//npl3FOvPAV4EvA8Yz8wHIuK7gK8CVwLnZ+ZNHea9BrhnrlAXETuBnQBDQ6u37D1wsEufTK3WDMD9Y72uon7sazmWU1+H1124pPsbHR1lcLD93jidLftajqr3dWRk5Hhmbu20rioh70PASzPzb4r3g8CHgEZxLd70uJcCX83M2zrP9LB5r2EeIa/Vhk2bc8WV1y+kfM3TruEJ9t/d84PHtWNfy7Gc+rrUX6HSbDZpNBpLus/lwL6Wo+p9jYgZQ14VrskDSOChXhchSZJUF1X5Z+rLgN+MiAuK9wG8rvUoXou9xRG9Vndm5ptKrVCSJKmPVCLkZeYJ4LnzGHcDcMMCpj4E+OXHkiRp2alEyCtLZo4udJuBVSs54SN+StFsNjm5vdHrMmrHvpbDvkrqd1W5Jk+SJEldZMiTJEmqIUOeJElSDRnyJEmSasiQJ0mSVEOGPEmSpBoy5EmSJNWQIU+SJKmGDHmSJEk1ZMiTJEmqIUOeJElSDVX62bUR8cPAxzLzgVnGPAM4NzM/2I19jo1PsnH3kW5MpTa7hifYYW+7zr6WY7n09aTP6pZqqxIhLyJeBfxoy6KLM3M18FPACeCBiDgAPBn4t8BJ4F+AlwHrgPPb5jsMDLbt5mJgbWaOd/0DSJIkVUwlQl5mvjkirgcuyMxvRMRdHcZcAxARfwi8PjP/qnj/pA5jt7Uvi4gjwESXS5ckSaqkKl2T91jgzcXr1qNtfxAR/xkgIi4AHg+8cDE7yMw8qwolSZL6RM9DXkSsiYinMHUqdk1E/BDwPyLiB4oh/ykzf6d4/UbglcCGiGgscFeTXShXkiSpL0SvD24Vp1svYSqEjTN1rd0Y8PfALwCvzcwvRsRvA3+bmb8ZEecBB4G3At8NnJ+ZN0XEZcCelunXA6eBUy3L9mXm0bYadgI7AYaGVm/Ze+BgCZ9Uawbg/rFeV1E/9rUcy6Wvw+suXPJ9jo6OMjjYftm0zpZ9LUfV+zoyMnI8M7d2WtfzkDctIh4HvArYVCz6PPBO4M8yczIiHstUYJvIzK+3bPciipDXYc5rgHvaQ91sNmzanCuuvH7Rn0Mz2zU8wf67K3EZaK3Y13Isl7724u7aZrNJo9FY8v3WnX0tR9X7GhEzhrxK/A0WEecA7wL+c8sNFd8HvAP498BkZn4hIl4KfBW4bXrbzLy5ByVLkiRVWs+vySucW/z371uW/T1Td8Oe+/DhkiRJmk0ljuRl5umIeB1wOCIeKhavAN6QmaNtw/cWR/Ra3ZmZbyq9UEmSpD5RiZAHkJnvB94/x5gbgBsWMO0hzvw6FkmSpGWhMiGvDB2OAs5pYNVKTviYn1I0m01Obm/0uozasa/lsK+S+l1VrsmTJElSFxnyJEmSasiQJ0mSVEOGPEmSpBoy5EmSJNWQIU+SJKmGDHmSJEk1ZMiTJEmqIUOeJElSDRnyJEmSaqjWjzVbjLHxSTbuPtLrMmpp1/AEO+xt19nXcvR7X0/6eEZp2avskbyIuCAifrjXdUiSJPWj0o/kRcTngHvbFo9l5rOL9Udb6jiVmVcWy14M/BTwwZa5TgD/2DbX+szc3LbPw8Bg27iLgbWZOX4WH0eSJKkvLMXp2nszszHbgMy8dJ5z/d/MvLx1QREI2+fb1r4sIo4AE/PcjyRJUl9bipC3IiLuYurIWgDfLJZfkZkPLHCujcVcrS6a78aZmQvcnyRJUl8qPeRl5jMBIuIq4JzMvGkem30/cAj4Uttc33sWpUyexbaSJEl9Jco6uBURT2PqurppK5g6ktcatt4O7O1wCvZOYCfw+szcERGXAXtahqws5mu9vm5fMXfruPXAaeBU67jMPOMUb0TsLPbH0NDqLXsPHJzvx9QCrBmA+8d6XUX92Ndy9Htfh9dd2OsSZjQ6OsrgYPtl0zpb9rUcVe/ryMjI8czc2mldaUfyMvNjwMciYh3wCuCJxarPAG/JzPsAIoKI2MxUcLsA+ByQtITBzDwGHJt+HxHPATZm5ls67Lp13DXAPe2hrkOtNwI3AmzYtDn33+03y5Rh1/AE9rb77Gs5+r2vJ7c3el3CjJrNJo1Go9dl1I59LUc/93UpvkLlFuAo8OPFzx3ArS3r3wtcDfwM8CzgkTNNFBG3FC/HgNEyipUkSaqDUv+ZGhErgfOA45n5YLHsk8C5EbEqM8cz820dtptpyscAZOYHZxogSZKkkkNeZk5GxB7g9rbg9tpFfl/dxR3urgX46cz8h0UVKUmSVENLcXftncCdC9xm+kaMHW3LVy9w94c48+YMSZKkZaF/ryqeh8xc8HV7A6tWcsJnPpai2WxW+mLwfmVfy2FfJfW7yj67VpIkSYtnyJMkSaohQ54kSVINGfIkSZJqyJAnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVkyJMkSaqhSj/WLCKuyMzbl3KfY+OTbNx9ZCl3uWzsGp5gh73tOvtajm709aSPSJTUQ5UIeRHxIeChlkUTmXk58PPA7cWY5wMvm2GKt2XmrS3zHQYG28ZcDKzNzPFu1S1JklRVlQh5wEOZeen0m4g42j4gM99ThMFnZea7i3EvBD6Ymafaxm5r3z4ijgAT3S5ckiSpivrtmrxVwHNb3j8HOHe+G2dmdr0iSZKkCqp6yFsREbdFxEuL9w9w5mnYwWLZfEx2tTJJkqQKq8rp2pk8lJk/DhARVwM/ATwyIj4FBFPX8f1xRNyWmW+JiMuAPS3brwdOA6eKOZrAvsx82OlgSZKkOokqnMEsrrX7ZMui78vMyyPirtZr9VrGXwWck5k3zTHvNcA9c4W6iNgJ7AQYGlq9Ze+Bgwv8BJqPNQNw/1ivq6gf+1qObvR1eN2F3SmmZkZHRxkcbL83TmfLvpaj6n0dGRk5nplbO62rypG8nwTOb3m/pL+yMvNG4EaADZs25/67q9KWetk1PIG97T77Wo5u9PXk9kZ3iqmZZrNJo9HodRm1Y1/L0c99rcRvhsz80mzrO5yGnV6+o+Wtp2ElSZIKlQh5c8nMY8CxXtchSZLULyod8jpdj7dAhwC//FiSJC07lQ55ZyszRxe6zcCqlZzwUUSlaDabXqNUAvtaDvsqqd9V/XvyJEmStAiGPEmSpBoy5EmSJNWQIU+SJKmGDHmSJEk1ZMiTJEmqIUOeJElSDRnyJEmSasiQJ0mSVEOGPEmSpBoy5EmSJNVQ3z+7NiKem5l/3K35xsYn2bj7SLemU4tdwxPssLddZ18X76TPqZZUY5UJeRHxOeDetsVjmfnsYn2zWDYM3A3cl5nbgZcDZ4S8iDgMDLbNdTGwNjPHu1u5JElS9VQm5AH3ZmZjppWZ2YiIAeAzs40rxm5rXxYRR4CJs6xRkiSpL1TpmrwVEXFXRHwsIv6ieH1XRFzQMmYXcDgiXta6YUQ0I+J5c+0gM7PbRUuSJFVRZY7kZeYzASLiKuCczLxpel1EnAfsBv4pM6+LiF0RcYCp0MdcR/YKk92uWZIkqaqi1we3IuJpwItbFq0AgjND2TuYOhD3Zy3b/ZvM/MeI+I3M/MVi2WXAnpbt1gOngVMty/Zl5tG2GnYCOwGGhlZv2Xvg4Nl/MD3MmgG4f6zXVdSPfV284XUXzrhudHSUwcH2S3vVDfa2HPa1HFXv68jIyPHM3NppXc9D3rSIWAe8AnhisegzwFsy876WMc1O2850JC8irgHuaQ91s9mwaXOuuPL6+Q7XAuwanmD/3ZU5eFwb9nXxZru7ttls0mg0lq6YZcTelsO+lqPqfY2IGUNelX4z3AK8Bnhd8f5pwK3A06cHdApzETHvACdJkrRcVOLGi4hYCZwHHM/MBzPzQeCTwLkRsaq31UmSJPWfShzJy8zJiNgD3B4RrateO4/vtftseZVJkiT1p0qEPIDMvBO4cxHb/cIsqw8BfvmxJEladioT8sqQmaML3WZg1UpO+KijUjSbTU5ub/S6jNqxr5KkTipxTZ4kSZK6y5AnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqyJAnSZJUQ7V+rNlijI1PsnH3kV6XUUu7hifYYW+7bjn39aSPIJSkGVX6SF5EvKTXNUiSJPWjShzJi4g3Ak8p3j4WeFNmHgKeB7ytZdzngHvbNh/LzGe3zXcYGGwbdzGwNjPHu1i6JElSJVUi5GXmq6dfR8TNwJ0zDL03MxvzmG9b+7KIOAJMLLJESZKkvlKJkDctIp7PVJD7QsuyjwBvzsz3ACsi4i6mjtIF8M1i2BWZ+cBc82dmllC2JElS5VQi5EXECuCVTJ2qvbZ1XWZe0vL6mcX4q4BzMvOmBexm8uwrlSRJ6g/R64NbEfEo4PeBd2TmbW3r3pqZL4+IpwEvblm1gqkjea3B7e3ABcCelmXrgdPAqZZl+zLzaNt+dgI7AYaGVm/Ze+DgWX0mdbZmAO4f63UV9bOc+zq87sLS5h4dHWVwsP3SXnWDvS2HfS1H1fs6MjJyPDO3dlrX85A3LSKeDFwHnFssWgHsz8w7WsasA14BPLFY9BngLZl53wxzXgPc0x7qZrNh0+ZcceX1C65fc9s1PMH+uytx8LhWlnNfy/wKlWazSaPRKG3+5czelsO+lqPqfY2IGUNelX4z3AC8YDqwRcQg8IGI+IvMnD4SdwvwGuB1xfunAbcCT1/qYiVJkqqsSt+Tl8VP6/tv/zciVgLnAccz88HMfBD4JHBuRKxa0kolSZIqrkpH8q4GDrYEtpXAGzLzawCZORkRe4DbI6J1u9f63XeSJElnqkzIy8xPA7NeYJOZdzLzd+h1cggwAEqSpGWnMiGvDJk5utBtBlat5ITPwyxFs9nk5PZGr8uoHfsqSeqkStfkSZIkqUsMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqyJAnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVU68eaLcbY+CQbdx/pdRm1tGt4gh32tuv6va8nfYygJJWiMiEvIv4G+Ie2xV/JzBe2jDkG/FTbmN/LzEvb5joMDLaNuxhYm5nj3alYkiSpuioT8oB728NaB48Afrxt2SPbB2XmtvZlEXEEmFh0dZIkSX2kSiFvPh4BbGtb9rCQN5PMzK5WI0mSVFF9EfIiYgVwLrClWPSfmKr9ncX684HxzJycZZrZ1kmSJNVKlULe1yKiCawBAvhSsfzZwDDwcx222dLy+ncjYhDY07JsPXAaOAVQzL8vM492tXJJkqSKiaqdwYyIq4BzMvOmDuvWAq8AnlAs+mvgLZnZfsPG9PhrgHvmCnURsRPYCTA0tHrL3gMHF12/ZrZmAO4f63UV9dPvfR1ed2GvS+hodHSUwcH2+7fUDfa2HPa1HFXv68jIyPHM3NppXZWO5M3HzcDrgF8t3v874N3AM85m0sy8EbgRYMOmzbn/7n5rS3/YNTyBve2+fu/rye2NXpfQUbPZpNFo9LqMWrK35bCv5ejnvvb8N0NEXMaZp1inl+9oeTt9inUA+HhmjhVjPg6cHxHhTRWSJEnf0fOQl5nHgGPzHP4a4L0RMR3oAthjwJMkSTpTz0PeQiwwEAIcAvzyY0mStOz0VchbqMwcXeg2A6tWcsLHLJWi2WxW9vqrfmZfJUmdrOh1AZIkSeo+Q54kSVINGfIkSZJqyJAnSZJUQ4Y8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqqO+fXRsR64CLMvPPujHf2PgkG3cf6cZUarNreIId9rbretXXkz7jWZIqrTIhLyKOZublc4x5HfAfgAngS8B/Ab4buBT4s5Zxh4HBts0vBtZm5ngXy5YkSaqkyoS8uUTE44HHZeYPFe9fBmwHPts+NjO3ddj+CFPhUJIkqfb66Zq8zwOPjIgfi4hnMnVE788XMkFmZimVSZIkVUyVjuRtiYhmh+Uvzsy/y8zTEfFC4IeBdcBrgDHgMfOcf7I7ZUqSJFVfVO3gVkRcBZyTmTe1LDsPuIGpoPYY4F8DfwKMAp8CnpaZvxIRlwF7WqZbD5wGTrUs25eZR9v2uRPYCTA0tHrL3gMHu/2xBKwZgPvHel1F/fSqr8PrLlz6nS6h0dFRBgfbL+1VN9jbctjXclS9ryMjI8czc2undVU6kjejzPwX4GcBIuJpwOXAu4BXAf8O+HQx7hhwbHq7iLgGuKc91HWY/0bgRoANmzbn/rv7oi19Z9fwBPa2+3rV15PbG0u+z6XUbDZpNBq9LqOW7G057Gs5+rmv/XRNHhHxFuAh4OPAF4EDwC29rEmSJKmKen5YpcMp1unlO1reTp9ifRRwb2Z+vFh+T/EjSZKkFj0Pee2nWOfhloh4sG3ZJzPzl7pYliRJUl/rechbiMy8aoGbHAL88mNJkrTs9FXIW6jMHF3oNgOrVnLCxzWVotls1v5i/V6wr5KkTvrqxgtJkiTNjyFPkiSphgx5kiRJNWTIkyRJqiFDniRJUg0Z8iRJkmrIkCdJklRDhjxJkqQaMuRJkiTVkCFPkiSphmr9WLPFGBufZOPuI70uo5Z2DU+ww952Xbf6etLH+UlSrVT6SF5EvGQeY9ZFxNalqEeSJKlfVCLkRcQbI+Ku4udERLy4WPW8DmOPti16HHB525jDLfNN/3wlIlaV9BEkSZIqpRKnazPz1dOvI+Jm4M5Zhp87j/m2tS+LiCPAxGLqkyRJ6jeVOJI3LSKeD9ybmV9oWfaRYjkREcDWiDg3Ii6JiF8Bdsx3/szMLpcsSZJUSZU4khcRK4BXAo8Frm1dl5mXtLy9DPgiU6dxPwj8M/AUYN08djPZjVolSZL6QfT64FZEPAr4feAdmXlb27q3ZubLi9fnALcDLwXeATw/M78REQ3gksy8LiIuA/a0TLEeOA2calm2LzPPuK4vInYCOwGGhlZv2XvgYPc+oL5tzQDcP9brKuqnW30dXnfh2U9SI6OjowwODva6jFqyt+Wwr+Woel9HRkaOZ2bHG1B7fiQvM/8Z+LGIeHJEvI/vXHO3AtgP3w54NwAHM/MLEfFq4LaIuKptrmPAsen3EXENcE97qOtQw43AjQAbNm3O/Xf3vC21tGt4Anvbfd3q68ntjbMvpkaazSaNRqPXZdSSvS2HfS1HP/e1Sr9xbwBekJn3AUTEIPCBiPgLYBC4KzMPA2TmX0bEawCvsZMkSeqgSiEvOTO0Tb/OzLwXuPeMwZmfAJi6F0OSJEmtqhTyrgYOtnyX3UrgDZn5tR7WJEmS1JcqE/Iy89PAgp+rlJlNoDnD6kPA+ELmG1i1khM+3qkUzWbT675KYF8lSZ1UJuSVITNHe12DJElSL1Tqy5AlSZLUHYY8SZKkGjLkSZIk1ZAhT5IkqYYMeZIkSTVkyJMkSaohQ54kSVINGfIkSZJqyJAnSZJUQ4Y8SZKkGur7x5pFxBXAH2VmdmO+sfFJNu4+0o2p1GbX8AQ77G3XLaavJ30+syTVXuVCXkT8ErAiM/e1LHss8I4Ow3cBPw8cASZaxh8GBtvGXgyszczxbtcsSZJUNZUJeRHxCGAnsBoYj4hXAocy84HM/EJEbAMuzsyPRsT3A/dl5pcj4mFzZea2DvOfEQQlSZLqrBIhLyJeAWwC3sVUEFtZ/OyLiPuKo3qPAn4O+Ciwjamjd19eyH66dUpXkiSp6noe8iLi0cBHih+AH2Wqrj8CfqcY8xhgHFhVjDm3eD/t9yPiA5n5O7PsarKbdUuSJFVZ9PrgVkQ8EXjuHMOOAPcBv52ZL4qI/cDbM/MzEXEX8KzMnIyIy4A9LdutB04Dp1qW7cvMo2017GTqVDFDQ6u37D1w8Ow+lDpaMwD3j/W6ivpZTF+H111YTjE1Mjo6yuBg+6W96gZ7Ww77Wo6q93VkZOR4Zm7ttK7nR/Iy8zPAZyJiHfAq4AnFqs8Cv1lcj7ceeDKwJiKeBjwWGI6I86anKeY6BhybnjsirgHuaQ91HWq4EbgRYMOmzbn/7p63pZZ2DU9gb7tvMX09ub1RTjE10mw2aTQavS6jluxtOexrOfq5r1X6jfsu4JeAjxfvn1osewZTR+SeBNwOPA34M+DRfOcOWq+1kyRJalGlkDcAfHb65oiI+GvgfIDM/BjwsU4bRYQ3VEiSJLWpUsi7Fri15StRAvjl3pUjSZLUvyoT8jLzw8CHF7HdpbOsPsSZd+FKkiQtC5UJeWXIzNGFbjOwaiUnfORTKZrNphf8l8C+SpI6WdHrAiRJktR9hjxJkqQaMuRJkiTVkCFPkiSphgx5kiRJNdTzZ9dWTUR8EzjR6zpqagj4aq+LqCH7Wg77Wh57Ww77Wo6q9/WizFzdaUWtv0JlkU7M9KBfnZ2I+IS97T77Wg77Wh57Ww77Wo5+7qunayVJkmrIkCdJklRDhryHu7HXBdSYvS2HfS2HfS2PvS2HfS1H3/bVGy8kSZJqyCN5kiRJNbSsQ15E/GpEfDgiPhoRT2xZPhgRfxAR/19EHI6IR/ayzn4zS1+fFBEfiIg/jYhbIuLcXtbZj2bqbcv6NRFxOiLO70V9/Wq2vkbEz0bEx4p1P9yrGvvRLH8XnBsR7yz+Lnh/RFzYyzr7UUSsjog3RMSvti3399dZmKWvffn7a9mGvIh4BrAmM38IeAnwppbVvwD8cWY+EzgGXN2DEvvSHH1N4LmZ+Qzg88AVPSixb83R22m7qfb3OVXObH0tgskzgKdn5r/PzA/2qMy+M8ef123A54u/C94DvHjpK+x7+4F/AVa1Lff319mZqa99+ftr2YY84EeAPwDIzP8DPKZl3X8Abi1e/yHwg0tbWl+bsa+ZeXdm/kvx9mvAA0tfXl+b7c8sEfEDTP1F9LmlL62vzdbX/8zUX+gfKv71PtSD+vrVbH39CvDo4vVQ8V4LkJk/Dfx/HVb5++sszNTXfv39tZxD3ndx5l8sExEx3Y/zMnO8eP1PfOcvI81ttr4CEBH/HngicOdSFlYDM/Y2Ii4A9gG/0oO6+t1sf2YfB3w1MxvALcDrlri2fjZbXz8CPD4iPgNsB9671MXVmL+/StRvv7+Wc8j7Omf+4X8oMx+aft3yl9Gj8V+ZCzFjX2PKbqb+pfnTmTnZiwL72Gx/Zt8M/HpmfmPpy+p7s/V1Anh/8foI8ISlLKzPzdbXXwN+IzOfCPwUffwVFRXk768S9Ovvr+Uc8v4U+HGAiHgC8MWWdX/Bd863vwC4a2lL62uz9fWlwD9m5q/2y/8gFdOxtxHxXcAW4L9ExM1MBZGbelRjP5rtz+yfAz9avG4Af7WklfW32fp6EfCl4vWXgccubWm15u+vcvTl769l+z15xb903gp8H/BNpi4MfgXwX4FHAu8EBoC/A17eci5es5ijr4eBRwEPFsP/KDPfvPRV9qfZepuZD7aMawKXZ+a3elFnv5njz+y5wDuA1Uwdmfq5zPynHpXaV+bo63cDv83UgYZVwLWZ+ec9KrVvRUSDqf/Xd0fEr+Pvr66Yoa+H6cPfX8s25EmSJNXZcj5dK0mSVFuGPEmSpBoy5EmSJNWQIU+SJKmGDHmSJEk1ZMiTJEmqIUOeJElSDRnyJEmSauj/B8F7SDYa5pBvAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "data_result['CCTV비율'] = data_result['총계'] / data_result['인구수'] * 100\n", + "data_result['CCTV비율'].sort_values().plot(kind='barh', grid=True, figsize=(10,10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "c573556a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(6,6))\n", + "plt.scatter(data_result['인구수'], data_result['총계'], s=50)\n", + "plt.xlabel('인구수')\n", + "plt.ylabel('CCTV')\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "d3055a80", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([4.09764911e-03, 1.47267477e+03])" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fp1 = np.polyfit(data_result['인구수'], data_result['총계'], 1)\n", + "fp1" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "cc74f974", + "metadata": {}, + "outputs": [], + "source": [ + "f1 = np.poly1d(fp1)\n", + "fx = np.linspace(100000, 700000, 100)" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "03e09734", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율CCTV비율오차
구별
강남구650236.3102735378005330424758782260.88471614.5455561.2090002825.609537
관악구494225.52705149944948569913750798712.75303415.9918230.9894901422.758478
송파구285496.8275866639656583385627976910.84748414.7132760.4298421339.370363
강서구256057.6354685797685743155453925580.94054915.9646620.4415561288.360601
노원구241550.4672905149465109563990883450.77483917.1561680.4689811167.742790
\n", + "
" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율 \\\n", + "구별 \n", + "강남구 6502 36.310273 537800 533042 4758 78226 0.884716 14.545556 \n", + "관악구 4942 25.527051 499449 485699 13750 79871 2.753034 15.991823 \n", + "송파구 2854 96.827586 663965 658338 5627 97691 0.847484 14.713276 \n", + "강서구 2560 57.635468 579768 574315 5453 92558 0.940549 15.964662 \n", + "노원구 2415 50.467290 514946 510956 3990 88345 0.774839 17.156168 \n", + "\n", + " CCTV비율 오차 \n", + "구별 \n", + "강남구 1.209000 2825.609537 \n", + "관악구 0.989490 1422.758478 \n", + "송파구 0.429842 1339.370363 \n", + "강서구 0.441556 1288.360601 \n", + "노원구 0.468981 1167.742790 " + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fp1 = np.polyfit(data_result['인구수'], data_result['총계'], 1)\n", + "f1 = np.poly1d(fp1)\n", + "fx = np.linspace(100000, 700000, 100)\n", + "data_result['오차'] = np.abs(data_result['총계'] - f1(data_result['인구수']))\n", + "df_sort = data_result.sort_values(by='오차', ascending=False)\n", + "df_sort.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "id": "b133aee7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(14,10))\n", + "plt.scatter(data_result['인구수'], data_result['총계'], c=data_result['오차'], s=50)\n", + "plt.plot(fx, f1(fx), ls='dashed', lw=3, color='g')\n", + "for n in range(10):\n", + " plt.text(df_sort['인구수'][n]*1.02, df_sort['총계'][n]*0.98, df_sort.index[n], fontsize=15)\n", + "\n", + "plt.xlabel('인구수')\n", + "plt.ylabel('인구당비율')\n", + "plt.colorbar()\n", + "plt.grid()\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/source_code/Untitled1.ipynb b/source_code/Untitled1.ipynb new file mode 100644 index 0000000..065a4be --- /dev/null +++ b/source_code/Untitled1.ipynb @@ -0,0 +1,376 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f14b4d8d", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9e0ec25d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거
0중부서113411376943495997830
1종로서964411593602284964792
2남대문서11227352699368579494
3서대문서3321159149107752412921029
4혜화서00337753581310747628
\n", + "
" + ], + "text/plain": [ + " 관서명 살인 발생 살인 검거 강도 발생 강도 검거 강간 발생 강간 검거 절도 발생 절도 검거 폭력 발생 폭력 검거\n", + "0 중부서 1 1 3 4 113 76 943 495 997 830\n", + "1 종로서 9 6 4 4 115 93 602 284 964 792\n", + "2 남대문서 1 1 2 2 73 52 699 368 579 494\n", + "3 서대문서 3 3 2 1 159 149 1077 524 1292 1029\n", + "4 혜화서 0 0 3 3 77 53 581 310 747 628" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal_police = pd.read_csv('../data/02. crime_in_Seoul.csv', thousands=',', encoding='euc-kr')\n", + "crime_anal_police.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "989a8260", + "metadata": {}, + "outputs": [], + "source": [ + "import googlemaps" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3a5f7b0a", + "metadata": {}, + "outputs": [], + "source": [ + "gmaps_key = \"AIzaSyCs5Zm8WztEp3Dz3cRKLV1iX-cFq14datM\"\n", + "gmaps = googlemaps.Client(key=gmaps_key)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f45f323f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'address_components': [{'long_name': '２７',\n", + " 'short_name': '２７',\n", + " 'types': ['premise']},\n", + " {'long_name': '수표로',\n", + " 'short_name': '수표로',\n", + " 'types': ['political', 'sublocality', 'sublocality_level_4']},\n", + " {'long_name': '중구',\n", + " 'short_name': '중구',\n", + " 'types': ['political', 'sublocality', 'sublocality_level_1']},\n", + " {'long_name': '서울특별시',\n", + " 'short_name': '서울특별시',\n", + " 'types': ['administrative_area_level_1', 'political']},\n", + " {'long_name': '대한민국',\n", + " 'short_name': 'KR',\n", + " 'types': ['country', 'political']},\n", + " {'long_name': '100-032',\n", + " 'short_name': '100-032',\n", + " 'types': ['postal_code']}],\n", + " 'formatted_address': '대한민국 서울특별시 중구 수표로 27',\n", + " 'geometry': {'location': {'lat': 37.56361709999999, 'lng': 126.9896517},\n", + " 'location_type': 'ROOFTOP',\n", + " 'viewport': {'northeast': {'lat': 37.5649660802915,\n", + " 'lng': 126.9910006802915},\n", + " 'southwest': {'lat': 37.5622681197085, 'lng': 126.9883027197085}}},\n", + " 'partial_match': True,\n", + " 'place_id': 'ChIJc-9q5uSifDURLhQmr5wkXmc',\n", + " 'plus_code': {'compound_code': 'HX7Q+CV 대한민국 서울특별시',\n", + " 'global_code': '8Q98HX7Q+CV'},\n", + " 'types': ['establishment', 'point_of_interest', 'police']}]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gmaps.geocode('서울중부경찰서', language='ko')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "5a9a8aca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['서울중부경찰서',\n", + " '서울종로경찰서',\n", + " '서울남대문경찰서',\n", + " '서울서대문경찰서',\n", + " '서울혜화경찰서',\n", + " '서울용산경찰서',\n", + " '서울성북경찰서',\n", + " '서울동대문경찰서',\n", + " '서울마포경찰서',\n", + " '서울영등포경찰서',\n", + " '서울성동경찰서',\n", + " '서울동작경찰서',\n", + " '서울광진경찰서',\n", + " '서울서부경찰서',\n", + " '서울강북경찰서',\n", + " '서울금천경찰서',\n", + " '서울중랑경찰서',\n", + " '서울강남경찰서',\n", + " '서울관악경찰서',\n", + " '서울강서경찰서',\n", + " '서울강동경찰서',\n", + " '서울종암경찰서',\n", + " '서울구로경찰서',\n", + " '서울서초경찰서',\n", + " '서울양천경찰서',\n", + " '서울송파경찰서',\n", + " '서울노원경찰서',\n", + " '서울방배경찰서',\n", + " '서울은평경찰서',\n", + " '서울도봉경찰서',\n", + " '서울수서경찰서']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "station_name = []\n", + "\n", + "for name in crime_anal_police['관서명']:\n", + " station_name.append('서울' + str(name[:-1]) + '경찰서')\n", + "\n", + "station_name" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2cde0d8d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f1924ed9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f4d0b2fc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d41829f1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73ce2568", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f522d35", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ecd0210a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "435f70ac", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "70aaa83e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9e84af47", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git "a/\354\233\220\353\263\270 \353\215\260\354\235\264\355\204\260 \352\270\201\354\226\264\354\230\250\352\261\260" "b/\354\233\220\353\263\270 \353\215\260\354\235\264\355\204\260 \352\270\201\354\226\264\354\230\250\352\261\260" new file mode 160000 index 0000000..b0a76c9 --- /dev/null +++ "b/\354\233\220\353\263\270 \353\215\260\354\235\264\355\204\260 \352\270\201\354\226\264\354\230\250\352\261\260" @@ -0,0 +1 @@ +Subproject commit b0a76c96ea266d5e69285fea35fc95accc4fd25d From dc0b9aeea31d8753c33bf85227c7edc66beeb056 Mon Sep 17 00:00:00 2001 From: 2squarehoon Date: Thu, 24 Feb 2022 21:26:17 +0900 Subject: [PATCH 2/5] readme --- README.md | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..84c8846 --- /dev/null +++ b/README.md @@ -0,0 +1,2 @@ +# SH +어쩔넘파이저쩔넘파이안물넘파이안궁넘파이뇌절넘파이 From b5dbd7e29b1da507d5ebe32c58d975d67a57028e Mon Sep 17 00:00:00 2001 From: 2squarehoon Date: Thu, 3 Mar 2022 00:39:34 +0900 Subject: [PATCH 3/5] 2 --- data/02. crime_in_Seoul_include_gu_name.csv | 32 + data/02. sales-funnel.xlsx | Bin 0 -> 5680 bytes .../Untitled1-checkpoint.ipynb | 3282 ++++++++++++++++- source_code/Untitled1.ipynb | 3282 ++++++++++++++++- 4 files changed, 6524 insertions(+), 72 deletions(-) create mode 100644 data/02. crime_in_Seoul_include_gu_name.csv create mode 100644 data/02. sales-funnel.xlsx diff --git a/data/02. crime_in_Seoul_include_gu_name.csv b/data/02. crime_in_Seoul_include_gu_name.csv new file mode 100644 index 0000000..e76da0d --- /dev/null +++ b/data/02. crime_in_Seoul_include_gu_name.csv @@ -0,0 +1,32 @@ +,관서명,살인 발생,살인 검거,강도 발생,강도 검거,강간 발생,강간 검거,절도 발생,절도 검거,폭력 발생,폭력 검거,구별 +0,중부서,1,1,3,4,113,76,943,495,997,830,중구 +1,종로서,9,6,4,4,115,93,602,284,964,792,종로구 +2,남대문서,1,1,2,2,73,52,699,368,579,494,중구 +3,서대문서,3,3,2,1,159,149,1077,524,1292,1029,서대문구 +4,혜화서,0,0,3,3,77,53,581,310,747,628,종로구 +5,용산서,5,3,6,6,230,186,1111,534,1617,1327,용산구 +6,성북서,0,0,2,2,95,77,439,233,672,610,성북구 +7,동대문서,10,8,6,5,161,142,1440,713,1784,1597,동대문구 +8,마포서,9,8,4,3,348,287,1483,679,1844,1557,마포구 +9,영등포서,7,4,6,5,315,252,2188,953,2701,2157,영등포구 +10,성동서,5,5,3,3,115,98,1016,565,1223,1103,성동구 +11,동작서,1,1,1,2,226,121,1341,592,1631,1370,동작구 +12,광진서,2,2,4,4,255,224,1664,874,1676,1407,광진구 +13,서부서,3,3,3,2,76,71,532,322,748,667,은평구 +14,강북서,9,8,5,4,159,132,780,490,1817,1625,강북구 +15,금천서,4,4,7,6,117,93,999,553,1471,1310,금천구 +16,중랑서,10,9,5,6,183,153,1506,889,2022,1724,중랑구 +17,강남서,5,3,12,10,513,433,1941,1016,2283,1911,강남구 +18,관악서,12,12,3,3,403,351,2229,1137,2614,2355,관악구 +19,강서서,10,9,6,5,265,222,1689,1070,2445,2087,강서구 +20,강동서,3,3,15,14,188,167,1640,781,1942,1697,강동구 +21,종암서,4,4,1,0,47,44,549,347,758,630,성북구 +22,구로서,6,6,5,5,197,142,1763,1008,2204,1823,구로구 +23,서초서,4,4,5,3,333,253,1673,801,1750,1415,서초구 +24,양천서,5,5,3,3,109,90,1517,718,1582,1270,양천구 +25,송파서,6,6,13,17,287,235,2429,1006,2675,2280,송파구 +26,노원서,4,3,3,3,169,148,1404,646,2163,1781,노원구 +27,방배서,1,1,1,1,63,50,348,159,423,365,서초구 +28,은평서,1,1,1,1,95,74,839,434,1092,956,은평구 +29,도봉서,0,0,2,2,82,87,861,379,1234,1022,도봉구 +30,수서서,1,2,2,1,195,194,1010,475,1394,1200,강남구 diff --git a/data/02. sales-funnel.xlsx b/data/02. sales-funnel.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..76f722f8f657bdbb83db142492f0e70de6b2a4a0 GIT binary patch literal 5680 zcmaJ_1z1$w)}|XAO1hDd4(X7TZikYZA!UG}Tcle`Iut1>DG3pjR6=0r?#@9%8veoW zepj#mz27>|oSE}HXYJYhU3=}d-d9T%6^#T53kwU$3Oz#s={Lhg{5Es3g1GW<-`>j; z2UJk`0O4@|sCZw`I#PMdn&t>trjq~jv~SlI!s)ye?*6{PSVqMKm~qO_4*P`VGG>Xa zkE604MJYO!7;(hBxFq+@dqr@vP1S6#-^bJsRAIgY?kO4RfE>{$IwDt7@lHI^ZZj|y zTQV=8{t#|CYv~)}U}A=PW4ZAoqWH(0?c7ByF#IGWwX%3yG2C;-6h%>Va7q77Jl6@E 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"cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "f45f323f", "metadata": {}, "outputs": [ @@ -206,7 +206,7 @@ " 'types': ['establishment', 'point_of_interest', 'police']}]" ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -217,7 +217,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "5a9a8aca", "metadata": {}, "outputs": [ @@ -257,7 +257,7 @@ " '서울수서경찰서']" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -273,72 +273,3282 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "2cde0d8d", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "서울중부경찰서-->대한민국 서울특별시 중구 수표로 27\n", + "서울종로경찰서-->대한민국 서울특별시 종로구 종로1.2.3.4가동 율곡로 46\n", + "서울남대문경찰서-->대한민국 서울특별시 중구 한강대로 410\n", + "서울서대문경찰서-->대한민국 서울특별시 서대문구 통일로 113\n", + "서울혜화경찰서-->대한민국 서울특별시 종로구 인의동 창경궁로 112-16\n", + "서울용산경찰서-->대한민국 서울특별시 용산구 백범로 329\n", + "서울성북경찰서-->대한민국 서울특별시 성북구 삼선동 보문로 170\n", + "서울동대문경찰서-->대한민국 서울특별시 동대문구 약령시로21길 29\n", + "서울마포경찰서-->대한민국 서울특별시 마포구 마포대로 183\n", + "서울영등포경찰서-->대한민국 서울특별시 영등포구 르노삼성정비소옆철도청임시구역\n", + "서울성동경찰서-->대한민국 서울특별시 성동구 행당동 왕십리광장로 9\n", + "서울동작경찰서-->대한민국 서울특별시 동작구 노량진로 148\n", + "서울광진경찰서-->대한민국 서울특별시 광진구 구의동 자양로 167\n", + "서울서부경찰서-->대한민국 서울특별시 은평구 녹번동 177-15\n", + "서울강북경찰서-->대한민국 서울특별시 강북구 오패산로 406\n", + "서울금천경찰서-->대한민국 서울특별시 금천구 시흥대로73길 50\n", + "서울중랑경찰서-->대한민국 서울특별시 중랑구 묵2동 249-2\n", + "서울강남경찰서-->대한민국 서울특별시 강남구 테헤란로114길 11\n", + "서울관악경찰서-->대한민국 서울특별시 관악구 관악로5길 33\n", + "서울강서경찰서-->대한민국 서울특별시 강서구 화곡6동 980-27\n", + "서울강동경찰서-->대한민국 서울특별시 강동구 성내로 57\n", + "서울종암경찰서-->대한민국 서울특별시 성북구 종암로 135\n", + "서울구로경찰서-->대한민국 서울특별시 구로구 가마산로 235\n", + "서울서초경찰서-->대한민국 서울특별시 서초구 서초3동 반포대로 179\n", + "서울양천경찰서-->대한민국 서울특별시 양천구 목동동로 99\n", + "서울송파경찰서-->대한민국 서울특별시 송파구 중대로 221\n", + "서울노원경찰서-->대한민국 서울특별시 노원구 하계동 노원로 283\n", + "서울방배경찰서-->대한민국 서울특별시 서초구 동작대로 204\n", + "서울은평경찰서-->대한민국 서울특별시 은평구 불광동 연서로 365\n", + "서울도봉경찰서-->대한민국 서울특별시 도봉구 노해로 403\n", + "서울수서경찰서-->대한민국 서울특별시 강남구 개포로 617\n" + ] + } + ], + "source": [ + "station_address = []\n", + "station_lat = []\n", + "station_lng = []\n", + "\n", + "for name in station_name:\n", + " tmp = gmaps.geocode(name, language='ko')\n", + " station_address.append(tmp[0].get(\"formatted_address\"))\n", + " \n", + " tmp_loc = tmp[0].get(\"geometry\")\n", + "\n", + " station_lat.append(tmp_loc['location']['lat'])\n", + " station_lng.append(tmp_loc['location']['lng'])\n", + " \n", + " print(name + '-->' + tmp[0].get(\"formatted_address\"))" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "f1924ed9", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "['대한민국 서울특별시 중구 수표로 27',\n", + " '대한민국 서울특별시 종로구 종로1.2.3.4가동 율곡로 46',\n", + " '대한민국 서울특별시 중구 한강대로 410',\n", + " '대한민국 서울특별시 서대문구 통일로 113',\n", + " '대한민국 서울특별시 종로구 인의동 창경궁로 112-16',\n", + " '대한민국 서울특별시 용산구 백범로 329',\n", + " '대한민국 서울특별시 성북구 삼선동 보문로 170',\n", + " '대한민국 서울특별시 동대문구 약령시로21길 29',\n", + " '대한민국 서울특별시 마포구 마포대로 183',\n", + " '대한민국 서울특별시 영등포구 르노삼성정비소옆철도청임시구역',\n", + " '대한민국 서울특별시 성동구 행당동 왕십리광장로 9',\n", + " '대한민국 서울특별시 동작구 노량진로 148',\n", + " '대한민국 서울특별시 광진구 구의동 자양로 167',\n", + " '대한민국 서울특별시 은평구 녹번동 177-15',\n", + " '대한민국 서울특별시 강북구 오패산로 406',\n", + " '대한민국 서울특별시 금천구 시흥대로73길 50',\n", + " '대한민국 서울특별시 중랑구 묵2동 249-2',\n", + " '대한민국 서울특별시 강남구 테헤란로114길 11',\n", + " '대한민국 서울특별시 관악구 관악로5길 33',\n", + " '대한민국 서울특별시 강서구 화곡6동 980-27',\n", + " '대한민국 서울특별시 강동구 성내로 57',\n", + " '대한민국 서울특별시 성북구 종암로 135',\n", + " '대한민국 서울특별시 구로구 가마산로 235',\n", + " '대한민국 서울특별시 서초구 서초3동 반포대로 179',\n", + " '대한민국 서울특별시 양천구 목동동로 99',\n", + " '대한민국 서울특별시 송파구 중대로 221',\n", + " '대한민국 서울특별시 노원구 하계동 노원로 283',\n", + " '대한민국 서울특별시 서초구 동작대로 204',\n", + " '대한민국 서울특별시 은평구 불광동 연서로 365',\n", + " '대한민국 서울특별시 도봉구 노해로 403',\n", + " '대한민국 서울특별시 강남구 개포로 617']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "station_address" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "f4d0b2fc", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "[37.56361709999999,\n", + " 37.575548,\n", + " 37.5547584,\n", + " 37.5647439,\n", + " 37.5719679,\n", + " 37.5387099,\n", + " 37.58977830000001,\n", + " 37.58506149999999,\n", + " 37.550814,\n", + " 37.5190711,\n", + " 37.5617303,\n", + " 37.5130866,\n", + " 37.542873,\n", + " 37.6021405,\n", + " 37.63730390000001,\n", + " 37.4568722,\n", + " 37.6056429,\n", + " 37.5094352,\n", + " 37.4743945,\n", + " 37.551284,\n", + " 37.528511,\n", + " 37.6020592,\n", + " 37.494931,\n", + " 37.4956054,\n", + " 37.5167711,\n", + " 37.5016941,\n", + " 37.6425238,\n", + " 37.4945959,\n", + " 37.6283178,\n", + " 37.6533589,\n", + " 37.49349]" + ] + }, + "execution_count": 9, + 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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
0중부서113411376943495997830중구
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4혜화서00337753581310747628종로구
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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
18관악서1212334033512229113726142355관악구
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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
15금천서44761179399955314711310금천구
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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
15금천서44761179399955314711310금천구
\n", + "
" + ], + "text/plain": [ + " 관서명 살인 발생 살인 검거 강도 발생 강도 검거 강간 발생 강간 검거 절도 발생 절도 검거 폭력 발생 폭력 검거 \\\n", + "15 금천서 4 4 7 6 117 93 999 553 1471 1310 \n", + "\n", + " 구별 \n", + "15 금천구 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal_police.loc[crime_anal_police['관서명']=='금천서', ['구별']] = '금천구'\n", + "crime_anal_police[crime_anal_police['관서명']=='금천서']" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "f25bf6ff", + "metadata": {}, + "outputs": [], + "source": [ + "crime_anal_police.to_csv('../data/02. crime_in_Seoul_include_gu_name.csv', sep=',', encoding='utf-8')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "37e0b0da", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting openpyxl\n", + " Downloading openpyxl-3.0.9-py2.py3-none-any.whl (242 kB)\n", + " -------------------------------------- 242.2/242.2 KB 4.9 MB/s eta 0:00:00\n", + "Collecting et-xmlfile\n", + " Downloading et_xmlfile-1.1.0-py3-none-any.whl (4.7 kB)\n", + "Installing collected packages: et-xmlfile, openpyxl\n", + "Successfully installed et-xmlfile-1.1.0 openpyxl-3.0.9\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "pip install openpyxl" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "70aaa83e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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AccountNameRepManagerProductQuantityPriceStatus
0714466Trantow-BarrowsCraig BookerDebra HenleyCPU130000presented
1714466Trantow-BarrowsCraig BookerDebra HenleySoftware110000presented
2714466Trantow-BarrowsCraig BookerDebra HenleyMaintenance25000pending
3737550Fritsch, Russel and AndersonCraig BookerDebra HenleyCPU135000declined
4146832Kiehn-SpinkaDaniel HiltonDebra HenleyCPU265000won
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AccountPriceQuantity
Name
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Fritsch, Russel and Anderson737550350001.000000
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Jerde-Hilpert41229050002.000000
Kassulke, Ondricka and Metz30759970003.000000
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Kiehn-Spinka146832650002.000000
Koepp Ltd729833350002.000000
Kulas Inc218895250001.500000
Purdy-Kunde163416300001.000000
Stokes LLC23934475001.000000
Trantow-Barrows714466150001.333333
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AccountPriceQuantity
NameRepManager
Barton LLCJohn SmithDebra Henley740150350001.000000
Fritsch, Russel and AndersonCraig BookerDebra Henley737550350001.000000
Herman LLCCedric MossFred Anderson141962650002.000000
Jerde-HilpertJohn SmithDebra Henley41229050002.000000
Kassulke, Ondricka and MetzWendy YuleFred Anderson30759970003.000000
Keeling LLCWendy YuleFred Anderson6889811000005.000000
Kiehn-SpinkaDaniel HiltonDebra Henley146832650002.000000
Koepp LtdWendy YuleFred Anderson729833350002.000000
Kulas IncDaniel HiltonDebra Henley218895250001.500000
Purdy-KundeCedric MossFred Anderson163416300001.000000
Stokes LLCCedric MossFred Anderson23934475001.000000
Trantow-BarrowsCraig BookerDebra Henley714466150001.333333
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Price
ManagerRep
Debra HenleyCraig Booker20000.000000
Daniel Hilton38333.333333
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Fred AndersonCedric Moss27500.000000
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Price
ManagerRep
Debra HenleyCraig Booker80000
Daniel Hilton115000
John Smith40000
Fred AndersonCedric Moss110000
Wendy Yule177000
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meanlen
PricePrice
ManagerRep
Debra HenleyCraig Booker20000.0000004
Daniel Hilton38333.3333333
John Smith20000.0000002
Fred AndersonCedric Moss27500.0000004
Wendy Yule44250.0000004
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sum
PriceQuantity
ManagerRepProduct
Debra HenleyCraig BookerCPU650002
Maintenance50002
Software100001
Daniel HiltonCPU1050004
Software100001
John SmithCPU350001
Maintenance50002
Fred AndersonCedric MossCPU950003
Maintenance50001
Software100001
Wendy YuleCPU1650007
Maintenance70003
Monitor50002
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summean
PriceQuantityPriceQuantity
ManagerRepProduct
Debra HenleyCraig BookerCPU65000232500.0000001.000000
Maintenance500025000.0000002.000000
Software10000110000.0000001.000000
Daniel HiltonCPU105000452500.0000002.000000
Software10000110000.0000001.000000
John SmithCPU35000135000.0000001.000000
Maintenance500025000.0000002.000000
Fred AndersonCedric MossCPU95000347500.0000001.500000
Maintenance500015000.0000001.000000
Software10000110000.0000001.000000
Wendy YuleCPU165000782500.0000003.500000
Maintenance700037000.0000003.000000
Monitor500025000.0000002.000000
All5220003030705.8823531.764706
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" + ], + "text/plain": [ + " sum mean \\\n", + " Price Quantity Price \n", + "Manager Rep Product \n", + "Debra Henley Craig Booker CPU 65000 2 32500.000000 \n", + " Maintenance 5000 2 5000.000000 \n", + " Software 10000 1 10000.000000 \n", + " Daniel Hilton CPU 105000 4 52500.000000 \n", + " Software 10000 1 10000.000000 \n", + " John Smith CPU 35000 1 35000.000000 \n", + " Maintenance 5000 2 5000.000000 \n", + "Fred Anderson Cedric Moss CPU 95000 3 47500.000000 \n", + " Maintenance 5000 1 5000.000000 \n", + " Software 10000 1 10000.000000 \n", + " Wendy Yule CPU 165000 7 82500.000000 \n", + " Maintenance 7000 3 7000.000000 \n", + " Monitor 5000 2 5000.000000 \n", + "All 522000 30 30705.882353 \n", + "\n", + " \n", + " Quantity \n", + "Manager Rep Product \n", + "Debra Henley Craig Booker CPU 1.000000 \n", + " Maintenance 2.000000 \n", + " Software 1.000000 \n", + " Daniel Hilton CPU 2.000000 \n", + " Software 1.000000 \n", + " John Smith CPU 1.000000 \n", + " Maintenance 2.000000 \n", + "Fred Anderson Cedric Moss CPU 1.500000 \n", + " Maintenance 1.000000 \n", + " Software 1.000000 \n", + " Wendy Yule CPU 3.500000 \n", + " Maintenance 3.000000 \n", + " Monitor 2.000000 \n", + "All 1.764706 " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.pivot_table(df,index=[\"Manager\",\"Rep\",\"Product\"], values=[\"Price\",\"Quantity\"], aggfunc=[np.sum,np.mean],fill_value=0,margins=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "e98c2051", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
00중부서113411376943495997830중구
11종로서964411593602284964792종로구
22남대문서11227352699368579494중구
33서대문서3321159149107752412921029서대문구
44혜화서00337753581310747628종로구
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강간 검거강간 발생강도 검거강도 발생살인 검거살인 발생절도 검거절도 발생폭력 검거폭력 발생
구별
강남구6277081114561491295131113677
강동구167188141533781164016971942
강북구132159458949078016251817
강서구222265569101070168920872445
관악구3514033312121137222923552614
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" + ], + "text/plain": [ + " 강간 검거 강간 발생 강도 검거 강도 발생 살인 검거 살인 발생 절도 검거 절도 발생 폭력 검거 폭력 발생\n", + "구별 \n", + "강남구 627 708 11 14 5 6 1491 2951 3111 3677\n", + "강동구 167 188 14 15 3 3 781 1640 1697 1942\n", + "강북구 132 159 4 5 8 9 490 780 1625 1817\n", + "강서구 222 265 5 6 9 10 1070 1689 2087 2445\n", + "관악구 351 403 3 3 12 12 1137 2229 2355 2614" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal_raw = pd.read_csv('../data/02. crime_in_Seoul_include_gu_name.csv', encoding='utf-8', index_col=0)\n", + "\n", + "crime_anal = pd.pivot_table(crime_anal_raw, index='구별', aggfunc=np.sum)\n", + "crime_anal.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "cda9e0e8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간 발생강도 발생살인 발생절도 발생폭력 발생강간검거율강도검거율살인검거율절도검거율폭력검거율
구별
강남구7081462951367788.55932278.57142983.33333350.52524684.607017
강동구1881531640194288.82978793.333333100.00000047.62195187.384140
강북구15959780181783.01886880.00000088.88888962.82051389.433132
강서구2656101689244583.77358583.33333390.00000063.35109585.357873
관악구4033122229261487.096774100.000000100.00000051.00942190.091813
광진구255421664167687.843137100.000000100.00000052.52403883.949881
구로구197561763220472.081218100.000000100.00000057.17526982.713249
금천구11774999147179.48717985.714286100.00000055.35535589.055065
노원구169341404216387.573964100.00000075.00000046.01139682.339344
도봉구82208611234106.097561100.000000NaN44.01858382.820097
동대문구1616101440178488.19875883.33333380.00000049.51388989.517937
동작구226111341163153.539823200.000000100.00000044.14616083.997548
마포구348491483184482.47126475.00000088.88888945.78557084.436009
서대문구159231077129293.71069250.000000100.00000048.65366879.643963
서초구396652021217376.51515266.666667100.00000047.50123781.914404
성동구115351016122385.217391100.000000100.00000055.61023690.188062
성북구14234988143085.21126866.666667100.00000058.70445386.713287
송파구2871362429267581.881533130.769231100.00000041.41622185.233645
양천구109351517158282.568807100.000000100.00000047.33025780.278129
영등포구315672188270180.00000083.33333357.14285743.55575979.859311
용산구230651111161780.869565100.00000060.00000048.06480682.065553
은평구171441371184084.79532275.000000100.00000055.14223288.206522
종로구192791183171176.041667100.00000066.66666750.21132782.992402
중구186521642157668.817204120.000000100.00000052.55785684.010152
중랑구1835101506202283.606557120.00000090.00000059.03054485.262117
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" + ], + "text/plain": [ + " 강간 발생 강도 발생 살인 발생 절도 발생 폭력 발생 강간검거율 강도검거율 살인검거율 \\\n", + "구별 \n", + "강남구 708 14 6 2951 3677 88.559322 78.571429 83.333333 \n", + "강동구 188 15 3 1640 1942 88.829787 93.333333 100.000000 \n", + "강북구 159 5 9 780 1817 83.018868 80.000000 88.888889 \n", + "강서구 265 6 10 1689 2445 83.773585 83.333333 90.000000 \n", + "관악구 403 3 12 2229 2614 87.096774 100.000000 100.000000 \n", + "광진구 255 4 2 1664 1676 87.843137 100.000000 100.000000 \n", + "구로구 197 5 6 1763 2204 72.081218 100.000000 100.000000 \n", + "금천구 117 7 4 999 1471 79.487179 85.714286 100.000000 \n", + "노원구 169 3 4 1404 2163 87.573964 100.000000 75.000000 \n", + "도봉구 82 2 0 861 1234 106.097561 100.000000 NaN \n", + "동대문구 161 6 10 1440 1784 88.198758 83.333333 80.000000 \n", + "동작구 226 1 1 1341 1631 53.539823 200.000000 100.000000 \n", + "마포구 348 4 9 1483 1844 82.471264 75.000000 88.888889 \n", + "서대문구 159 2 3 1077 1292 93.710692 50.000000 100.000000 \n", + "서초구 396 6 5 2021 2173 76.515152 66.666667 100.000000 \n", + "성동구 115 3 5 1016 1223 85.217391 100.000000 100.000000 \n", + "성북구 142 3 4 988 1430 85.211268 66.666667 100.000000 \n", + "송파구 287 13 6 2429 2675 81.881533 130.769231 100.000000 \n", + "양천구 109 3 5 1517 1582 82.568807 100.000000 100.000000 \n", + "영등포구 315 6 7 2188 2701 80.000000 83.333333 57.142857 \n", + "용산구 230 6 5 1111 1617 80.869565 100.000000 60.000000 \n", + "은평구 171 4 4 1371 1840 84.795322 75.000000 100.000000 \n", + "종로구 192 7 9 1183 1711 76.041667 100.000000 66.666667 \n", + "중구 186 5 2 1642 1576 68.817204 120.000000 100.000000 \n", + "중랑구 183 5 10 1506 2022 83.606557 120.000000 90.000000 \n", + "\n", + " 절도검거율 폭력검거율 \n", + "구별 \n", + "강남구 50.525246 84.607017 \n", + "강동구 47.621951 87.384140 \n", + "강북구 62.820513 89.433132 \n", + "강서구 63.351095 85.357873 \n", + "관악구 51.009421 90.091813 \n", + "광진구 52.524038 83.949881 \n", + "구로구 57.175269 82.713249 \n", + "금천구 55.355355 89.055065 \n", + "노원구 46.011396 82.339344 \n", + "도봉구 44.018583 82.820097 \n", + "동대문구 49.513889 89.517937 \n", + "동작구 44.146160 83.997548 \n", + "마포구 45.785570 84.436009 \n", + "서대문구 48.653668 79.643963 \n", + "서초구 47.501237 81.914404 \n", + "성동구 55.610236 90.188062 \n", + "성북구 58.704453 86.713287 \n", + "송파구 41.416221 85.233645 \n", + "양천구 47.330257 80.278129 \n", + "영등포구 43.555759 79.859311 \n", + "용산구 48.064806 82.065553 \n", + "은평구 55.142232 88.206522 \n", + "종로구 50.211327 82.992402 \n", + "중구 52.557856 84.010152 \n", + "중랑구 59.030544 85.262117 " + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal['강간검거율'] = crime_anal['강간 검거']/crime_anal['강간 발생']*100\n", + "crime_anal['강도검거율'] = crime_anal['강도 검거']/crime_anal['강도 발생']*100\n", + "crime_anal['살인검거율'] = crime_anal['살인 검거']/crime_anal['살인 발생']*100\n", + "crime_anal['절도검거율'] = crime_anal['절도 검거']/crime_anal['절도 발생']*100\n", + "crime_anal['폭력검거율'] = crime_anal['폭력 검거']/crime_anal['폭력 발생']*100\n", + "\n", + "del crime_anal['강간 검거']\n", + "del crime_anal['강도 검거']\n", + "del crime_anal['살인 검거']\n", + "del crime_anal['절도 검거']\n", + "del crime_anal['폭력 검거']\n", + "\n", + "crime_anal" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "426c2702", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간 발생강도 발생살인 발생절도 발생폭력 발생강간검거율강도검거율살인검거율절도검거율폭력검거율
구별
강남구7081462951367788.55932278.57142983.33333350.52524684.607017
강동구1881531640194288.82978793.333333100.00000047.62195187.384140
강북구15959780181783.01886880.00000088.88888962.82051389.433132
강서구2656101689244583.77358583.33333390.00000063.35109585.357873
관악구4033122229261487.096774100.000000100.00000051.00942190.091813
\n", + "
" + ], + "text/plain": [ + " 강간 발생 강도 발생 살인 발생 절도 발생 폭력 발생 강간검거율 강도검거율 살인검거율 \\\n", + "구별 \n", + "강남구 708 14 6 2951 3677 88.559322 78.571429 83.333333 \n", + "강동구 188 15 3 1640 1942 88.829787 93.333333 100.000000 \n", + "강북구 159 5 9 780 1817 83.018868 80.000000 88.888889 \n", + "강서구 265 6 10 1689 2445 83.773585 83.333333 90.000000 \n", + "관악구 403 3 12 2229 2614 87.096774 100.000000 100.000000 \n", + "\n", + " 절도검거율 폭력검거율 \n", + "구별 \n", + "강남구 50.525246 84.607017 \n", + "강동구 47.621951 87.384140 \n", + "강북구 62.820513 89.433132 \n", + "강서구 63.351095 85.357873 \n", + "관악구 51.009421 90.091813 " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "con_list = ['강간검거율', '강도검거율', '살인검거율', '절도검거율', '폭력검거율']\n", + "\n", + "for column in con_list:\n", + " crime_anal.loc[crime_anal[column] > 100, column] = 100\n", + " \n", + "crime_anal.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "1af02d65", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간강도살인절도폭력강간검거율강도검거율살인검거율절도검거율폭력검거율
구별
강남구7081462951367788.55932278.57142983.33333350.52524684.607017
강동구1881531640194288.82978793.333333100.00000047.62195187.384140
강북구15959780181783.01886880.00000088.88888962.82051389.433132
강서구2656101689244583.77358583.33333390.00000063.35109585.357873
관악구4033122229261487.096774100.000000100.00000051.00942190.091813
\n", + "
" + ], + "text/plain": [ + " 강간 강도 살인 절도 폭력 강간검거율 강도검거율 살인검거율 절도검거율 \\\n", + "구별 \n", + "강남구 708 14 6 2951 3677 88.559322 78.571429 83.333333 50.525246 \n", + "강동구 188 15 3 1640 1942 88.829787 93.333333 100.000000 47.621951 \n", + "강북구 159 5 9 780 1817 83.018868 80.000000 88.888889 62.820513 \n", + "강서구 265 6 10 1689 2445 83.773585 83.333333 90.000000 63.351095 \n", + "관악구 403 3 12 2229 2614 87.096774 100.000000 100.000000 51.009421 \n", + "\n", + " 폭력검거율 \n", + "구별 \n", + "강남구 84.607017 \n", + "강동구 87.384140 \n", + "강북구 89.433132 \n", + "강서구 85.357873 \n", + "관악구 90.091813 " + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal.rename(columns = {'강간 발생':'강간', \n", + " '강도 발생':'강도', \n", + " '살인 발생':'살인', \n", + " '절도 발생':'절도', \n", + " '폭력 발생':'폭력'}, inplace=True)\n", + "crime_anal.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "c1d09dcd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간강도살인절도폭력강간검거율강도검거율살인검거율절도검거율폭력검거율
구별
강남구1.0000000.9285710.5000001.0000001.00000088.55932278.57142983.33333350.52524684.607017
강동구0.1693291.0000000.2500000.3961310.29299188.82978793.333333100.00000047.62195187.384140
강북구0.1230030.2857140.7500000.0000000.24205483.01886880.00000088.88888962.82051389.433132
강서구0.2923320.3571430.8333330.4187010.49796383.77358583.33333390.00000063.35109585.357873
관악구0.5127800.1428571.0000000.6674340.56683087.096774100.000000100.00000051.00942190.091813
\n", + "
" + ], + "text/plain": [ + " 강간 강도 살인 절도 폭력 강간검거율 강도검거율 \\\n", + "구별 \n", + "강남구 1.000000 0.928571 0.500000 1.000000 1.000000 88.559322 78.571429 \n", + "강동구 0.169329 1.000000 0.250000 0.396131 0.292991 88.829787 93.333333 \n", + "강북구 0.123003 0.285714 0.750000 0.000000 0.242054 83.018868 80.000000 \n", + "강서구 0.292332 0.357143 0.833333 0.418701 0.497963 83.773585 83.333333 \n", + "관악구 0.512780 0.142857 1.000000 0.667434 0.566830 87.096774 100.000000 \n", + "\n", + " 살인검거율 절도검거율 폭력검거율 \n", + "구별 \n", + "강남구 83.333333 50.525246 84.607017 \n", + "강동구 100.000000 47.621951 87.384140 \n", + "강북구 88.888889 62.820513 89.433132 \n", + "강서구 90.000000 63.351095 85.357873 \n", + "관악구 100.000000 51.009421 90.091813 " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn import preprocessing\n", + "\n", + "col = ['강간', '강도', '살인', '절도', '폭력']\n", + "\n", + "x = crime_anal[col].values\n", + "min_max_scaler = preprocessing.MinMaxScaler()\n", + "\n", + "x_scaled = min_max_scaler.fit_transform(x.astype(float))\n", + "crime_anal_norm = pd.DataFrame(x_scaled, columns = col, index = crime_anal.index)\n", + "\n", + "col2 = ['강간검거율', '강도검거율', '살인검거율', '절도검거율', '폭력검거율']\n", + "crime_anal_norm[col2] = crime_anal[col2]\n", + "crime_anal_norm.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "93881673", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간강도살인절도폭력강간검거율강도검거율살인검거율절도검거율폭력검거율범죄
구별
강남구1.0000000.9285710.5000001.0000001.00000088.55932278.57142983.33333350.52524684.6070174.428571
강동구0.1693291.0000000.2500000.3961310.29299188.82978793.333333100.00000047.62195187.3841402.108451
강북구0.1230030.2857140.7500000.0000000.24205483.01886880.00000088.88888962.82051389.4331321.400771
강서구0.2923320.3571430.8333330.4187010.49796383.77358583.33333390.00000063.35109585.3578732.399472
관악구0.5127800.1428571.0000000.6674340.56683087.096774100.000000100.00000051.00942190.0918132.889901
\n", + "
" + ], + "text/plain": [ + " 강간 강도 살인 절도 폭력 강간검거율 강도검거율 \\\n", + "구별 \n", + "강남구 1.000000 0.928571 0.500000 1.000000 1.000000 88.559322 78.571429 \n", + "강동구 0.169329 1.000000 0.250000 0.396131 0.292991 88.829787 93.333333 \n", + "강북구 0.123003 0.285714 0.750000 0.000000 0.242054 83.018868 80.000000 \n", + "강서구 0.292332 0.357143 0.833333 0.418701 0.497963 83.773585 83.333333 \n", + "관악구 0.512780 0.142857 1.000000 0.667434 0.566830 87.096774 100.000000 \n", + "\n", + " 살인검거율 절도검거율 폭력검거율 범죄 \n", + "구별 \n", + "강남구 83.333333 50.525246 84.607017 4.428571 \n", + "강동구 100.000000 47.621951 87.384140 2.108451 \n", + "강북구 88.888889 62.820513 89.433132 1.400771 \n", + "강서구 90.000000 63.351095 85.357873 2.399472 \n", + "관악구 100.000000 51.009421 90.091813 2.889901 " + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "col = ['강간','강도','살인','절도','폭력']\n", + "crime_anal_norm['범죄'] = np.sum(crime_anal_norm[col], axis=1)\n", + "crime_anal_norm.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "dd3512e3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간강도살인절도폭력강간검거율강도검거율살인검거율절도검거율폭력검거율범죄검거
구별
강남구1.0000000.9285710.5000001.0000001.00000088.55932278.57142983.33333350.52524684.6070174.428571385.596346
강동구0.1693291.0000000.2500000.3961310.29299188.82978793.333333100.00000047.62195187.3841402.108451417.169212
강북구0.1230030.2857140.7500000.0000000.24205483.01886880.00000088.88888962.82051389.4331321.400771404.161401
강서구0.2923320.3571430.8333330.4187010.49796383.77358583.33333390.00000063.35109585.3578732.399472405.815887
관악구0.5127800.1428571.0000000.6674340.56683087.096774100.000000100.00000051.00942190.0918132.889901428.198009
\n", + "
" + ], + "text/plain": [ + " 강간 강도 살인 절도 폭력 강간검거율 강도검거율 \\\n", + "구별 \n", + "강남구 1.000000 0.928571 0.500000 1.000000 1.000000 88.559322 78.571429 \n", + "강동구 0.169329 1.000000 0.250000 0.396131 0.292991 88.829787 93.333333 \n", + "강북구 0.123003 0.285714 0.750000 0.000000 0.242054 83.018868 80.000000 \n", + "강서구 0.292332 0.357143 0.833333 0.418701 0.497963 83.773585 83.333333 \n", + "관악구 0.512780 0.142857 1.000000 0.667434 0.566830 87.096774 100.000000 \n", + "\n", + " 살인검거율 절도검거율 폭력검거율 범죄 검거 \n", + "구별 \n", + "강남구 83.333333 50.525246 84.607017 4.428571 385.596346 \n", + "강동구 100.000000 47.621951 87.384140 2.108451 417.169212 \n", + "강북구 88.888889 62.820513 89.433132 1.400771 404.161401 \n", + "강서구 90.000000 63.351095 85.357873 2.399472 405.815887 \n", + "관악구 100.000000 51.009421 90.091813 2.889901 428.198009 " + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "col = ['강간검거율','강도검거율','살인검거율','절도검거율','폭력검거율']\n", + "crime_anal_norm['검거'] = np.sum(crime_anal_norm[col], axis=1)\n", + "crime_anal_norm.head()" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "70aaa83e", + "id": "03cbf460", "metadata": {}, "outputs": [], "source": [] @@ -346,7 +3556,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9e84af47", + "id": "0c81c376", "metadata": {}, "outputs": [], "source": [] diff --git a/source_code/Untitled1.ipynb b/source_code/Untitled1.ipynb index 065a4be..cfb8530 100644 --- a/source_code/Untitled1.ipynb +++ b/source_code/Untitled1.ipynb @@ -168,7 +168,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "f45f323f", "metadata": {}, "outputs": [ @@ -206,7 +206,7 @@ " 'types': ['establishment', 'point_of_interest', 'police']}]" ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -217,7 +217,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "5a9a8aca", "metadata": {}, "outputs": [ @@ -257,7 +257,7 @@ " '서울수서경찰서']" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -273,72 +273,3282 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "2cde0d8d", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "서울중부경찰서-->대한민국 서울특별시 중구 수표로 27\n", + "서울종로경찰서-->대한민국 서울특별시 종로구 종로1.2.3.4가동 율곡로 46\n", + "서울남대문경찰서-->대한민국 서울특별시 중구 한강대로 410\n", + "서울서대문경찰서-->대한민국 서울특별시 서대문구 통일로 113\n", + "서울혜화경찰서-->대한민국 서울특별시 종로구 인의동 창경궁로 112-16\n", + "서울용산경찰서-->대한민국 서울특별시 용산구 백범로 329\n", + "서울성북경찰서-->대한민국 서울특별시 성북구 삼선동 보문로 170\n", + "서울동대문경찰서-->대한민국 서울특별시 동대문구 약령시로21길 29\n", + "서울마포경찰서-->대한민국 서울특별시 마포구 마포대로 183\n", + "서울영등포경찰서-->대한민국 서울특별시 영등포구 르노삼성정비소옆철도청임시구역\n", + "서울성동경찰서-->대한민국 서울특별시 성동구 행당동 왕십리광장로 9\n", + "서울동작경찰서-->대한민국 서울특별시 동작구 노량진로 148\n", + "서울광진경찰서-->대한민국 서울특별시 광진구 구의동 자양로 167\n", + "서울서부경찰서-->대한민국 서울특별시 은평구 녹번동 177-15\n", + "서울강북경찰서-->대한민국 서울특별시 강북구 오패산로 406\n", + "서울금천경찰서-->대한민국 서울특별시 금천구 시흥대로73길 50\n", + "서울중랑경찰서-->대한민국 서울특별시 중랑구 묵2동 249-2\n", + "서울강남경찰서-->대한민국 서울특별시 강남구 테헤란로114길 11\n", + "서울관악경찰서-->대한민국 서울특별시 관악구 관악로5길 33\n", + "서울강서경찰서-->대한민국 서울특별시 강서구 화곡6동 980-27\n", + "서울강동경찰서-->대한민국 서울특별시 강동구 성내로 57\n", + "서울종암경찰서-->대한민국 서울특별시 성북구 종암로 135\n", + "서울구로경찰서-->대한민국 서울특별시 구로구 가마산로 235\n", + "서울서초경찰서-->대한민국 서울특별시 서초구 서초3동 반포대로 179\n", + "서울양천경찰서-->대한민국 서울특별시 양천구 목동동로 99\n", + "서울송파경찰서-->대한민국 서울특별시 송파구 중대로 221\n", + "서울노원경찰서-->대한민국 서울특별시 노원구 하계동 노원로 283\n", + "서울방배경찰서-->대한민국 서울특별시 서초구 동작대로 204\n", + "서울은평경찰서-->대한민국 서울특별시 은평구 불광동 연서로 365\n", + "서울도봉경찰서-->대한민국 서울특별시 도봉구 노해로 403\n", + "서울수서경찰서-->대한민국 서울특별시 강남구 개포로 617\n" + ] + } + ], + "source": [ + "station_address = []\n", + "station_lat = []\n", + "station_lng = []\n", + "\n", + "for name in station_name:\n", + " tmp = gmaps.geocode(name, language='ko')\n", + " station_address.append(tmp[0].get(\"formatted_address\"))\n", + " \n", + " tmp_loc = tmp[0].get(\"geometry\")\n", + "\n", + " station_lat.append(tmp_loc['location']['lat'])\n", + " station_lng.append(tmp_loc['location']['lng'])\n", + " \n", + " print(name + '-->' + tmp[0].get(\"formatted_address\"))" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "f1924ed9", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "['대한민국 서울특별시 중구 수표로 27',\n", + " '대한민국 서울특별시 종로구 종로1.2.3.4가동 율곡로 46',\n", + " '대한민국 서울특별시 중구 한강대로 410',\n", + " '대한민국 서울특별시 서대문구 통일로 113',\n", + " '대한민국 서울특별시 종로구 인의동 창경궁로 112-16',\n", + " '대한민국 서울특별시 용산구 백범로 329',\n", + " '대한민국 서울특별시 성북구 삼선동 보문로 170',\n", + " '대한민국 서울특별시 동대문구 약령시로21길 29',\n", + " '대한민국 서울특별시 마포구 마포대로 183',\n", + " '대한민국 서울특별시 영등포구 르노삼성정비소옆철도청임시구역',\n", + " '대한민국 서울특별시 성동구 행당동 왕십리광장로 9',\n", + " '대한민국 서울특별시 동작구 노량진로 148',\n", + " '대한민국 서울특별시 광진구 구의동 자양로 167',\n", + " '대한민국 서울특별시 은평구 녹번동 177-15',\n", + " '대한민국 서울특별시 강북구 오패산로 406',\n", + " '대한민국 서울특별시 금천구 시흥대로73길 50',\n", + " '대한민국 서울특별시 중랑구 묵2동 249-2',\n", + " '대한민국 서울특별시 강남구 테헤란로114길 11',\n", + " '대한민국 서울특별시 관악구 관악로5길 33',\n", + " '대한민국 서울특별시 강서구 화곡6동 980-27',\n", + " '대한민국 서울특별시 강동구 성내로 57',\n", + " '대한민국 서울특별시 성북구 종암로 135',\n", + " '대한민국 서울특별시 구로구 가마산로 235',\n", + " '대한민국 서울특별시 서초구 서초3동 반포대로 179',\n", + " '대한민국 서울특별시 양천구 목동동로 99',\n", + " '대한민국 서울특별시 송파구 중대로 221',\n", + " '대한민국 서울특별시 노원구 하계동 노원로 283',\n", + " '대한민국 서울특별시 서초구 동작대로 204',\n", + " '대한민국 서울특별시 은평구 불광동 연서로 365',\n", + " '대한민국 서울특별시 도봉구 노해로 403',\n", + " '대한민국 서울특별시 강남구 개포로 617']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "station_address" + ] }, { "cell_type": "code", - 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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
0중부서113411376943495997830중구
1종로서964411593602284964792종로구
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3서대문서3321159149107752412921029서대문구
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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
18관악서1212334033512229113726142355관악구
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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
15금천서44761179399955314711310금천구
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관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
15금천서44761179399955314711310금천구
\n", + "
" + ], + "text/plain": [ + " 관서명 살인 발생 살인 검거 강도 발생 강도 검거 강간 발생 강간 검거 절도 발생 절도 검거 폭력 발생 폭력 검거 \\\n", + "15 금천서 4 4 7 6 117 93 999 553 1471 1310 \n", + "\n", + " 구별 \n", + "15 금천구 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal_police.loc[crime_anal_police['관서명']=='금천서', ['구별']] = '금천구'\n", + "crime_anal_police[crime_anal_police['관서명']=='금천서']" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "f25bf6ff", + "metadata": {}, + "outputs": [], + "source": [ + "crime_anal_police.to_csv('../data/02. crime_in_Seoul_include_gu_name.csv', sep=',', encoding='utf-8')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "37e0b0da", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting openpyxl\n", + " Downloading openpyxl-3.0.9-py2.py3-none-any.whl (242 kB)\n", + " -------------------------------------- 242.2/242.2 KB 4.9 MB/s eta 0:00:00\n", + "Collecting et-xmlfile\n", + " Downloading et_xmlfile-1.1.0-py3-none-any.whl (4.7 kB)\n", + "Installing collected packages: et-xmlfile, openpyxl\n", + "Successfully installed et-xmlfile-1.1.0 openpyxl-3.0.9\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "pip install openpyxl" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "70aaa83e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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AccountNameRepManagerProductQuantityPriceStatus
0714466Trantow-BarrowsCraig BookerDebra HenleyCPU130000presented
1714466Trantow-BarrowsCraig BookerDebra HenleySoftware110000presented
2714466Trantow-BarrowsCraig BookerDebra HenleyMaintenance25000pending
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4146832Kiehn-SpinkaDaniel HiltonDebra HenleyCPU265000won
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AccountPriceQuantity
Name
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Jerde-Hilpert41229050002.000000
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Kulas Inc218895250001.500000
Purdy-Kunde163416300001.000000
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NameRepManager
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Koepp LtdWendy YuleFred Anderson729833350002.000000
Kulas IncDaniel HiltonDebra Henley218895250001.500000
Purdy-KundeCedric MossFred Anderson163416300001.000000
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meanlen
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sum
PriceQuantity
ManagerRepProduct
Debra HenleyCraig BookerCPU650002
Maintenance50002
Software100001
Daniel HiltonCPU1050004
Software100001
John SmithCPU350001
Maintenance50002
Fred AndersonCedric MossCPU950003
Maintenance50001
Software100001
Wendy YuleCPU1650007
Maintenance70003
Monitor50002
\n", + "
" + ], + "text/plain": [ + " sum \n", + " Price Quantity\n", + "Manager Rep Product \n", + "Debra Henley Craig Booker CPU 65000 2\n", + " Maintenance 5000 2\n", + " Software 10000 1\n", + " Daniel Hilton CPU 105000 4\n", + " Software 10000 1\n", + " John Smith CPU 35000 1\n", + " Maintenance 5000 2\n", + "Fred Anderson Cedric Moss CPU 95000 3\n", + " Maintenance 5000 1\n", + " Software 10000 1\n", + " Wendy Yule CPU 165000 7\n", + " Maintenance 7000 3\n", + " Monitor 5000 2" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.pivot_table(df,index=[\"Manager\",\"Rep\",\"Product\"], values=[\"Price\",\"Quantity\"],aggfunc=[np.sum],fill_value=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "fca8f67a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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summean
PriceQuantityPriceQuantity
ManagerRepProduct
Debra HenleyCraig BookerCPU65000232500.0000001.000000
Maintenance500025000.0000002.000000
Software10000110000.0000001.000000
Daniel HiltonCPU105000452500.0000002.000000
Software10000110000.0000001.000000
John SmithCPU35000135000.0000001.000000
Maintenance500025000.0000002.000000
Fred AndersonCedric MossCPU95000347500.0000001.500000
Maintenance500015000.0000001.000000
Software10000110000.0000001.000000
Wendy YuleCPU165000782500.0000003.500000
Maintenance700037000.0000003.000000
Monitor500025000.0000002.000000
All5220003030705.8823531.764706
\n", + "
" + ], + "text/plain": [ + " sum mean \\\n", + " Price Quantity Price \n", + "Manager Rep Product \n", + "Debra Henley Craig Booker CPU 65000 2 32500.000000 \n", + " Maintenance 5000 2 5000.000000 \n", + " Software 10000 1 10000.000000 \n", + " Daniel Hilton CPU 105000 4 52500.000000 \n", + " Software 10000 1 10000.000000 \n", + " John Smith CPU 35000 1 35000.000000 \n", + " Maintenance 5000 2 5000.000000 \n", + "Fred Anderson Cedric Moss CPU 95000 3 47500.000000 \n", + " Maintenance 5000 1 5000.000000 \n", + " Software 10000 1 10000.000000 \n", + " Wendy Yule CPU 165000 7 82500.000000 \n", + " Maintenance 7000 3 7000.000000 \n", + " Monitor 5000 2 5000.000000 \n", + "All 522000 30 30705.882353 \n", + "\n", + " \n", + " Quantity \n", + "Manager Rep Product \n", + "Debra Henley Craig Booker CPU 1.000000 \n", + " Maintenance 2.000000 \n", + " Software 1.000000 \n", + " Daniel Hilton CPU 2.000000 \n", + " Software 1.000000 \n", + " John Smith CPU 1.000000 \n", + " Maintenance 2.000000 \n", + "Fred Anderson Cedric Moss CPU 1.500000 \n", + " Maintenance 1.000000 \n", + " Software 1.000000 \n", + " Wendy Yule CPU 3.500000 \n", + " Maintenance 3.000000 \n", + " Monitor 2.000000 \n", + "All 1.764706 " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.pivot_table(df,index=[\"Manager\",\"Rep\",\"Product\"], values=[\"Price\",\"Quantity\"], aggfunc=[np.sum,np.mean],fill_value=0,margins=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "e98c2051", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0관서명살인 발생살인 검거강도 발생강도 검거강간 발생강간 검거절도 발생절도 검거폭력 발생폭력 검거구별
00중부서113411376943495997830중구
11종로서964411593602284964792종로구
22남대문서11227352699368579494중구
33서대문서3321159149107752412921029서대문구
44혜화서00337753581310747628종로구
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강간 검거강간 발생강도 검거강도 발생살인 검거살인 발생절도 검거절도 발생폭력 검거폭력 발생
구별
강남구6277081114561491295131113677
강동구167188141533781164016971942
강북구132159458949078016251817
강서구222265569101070168920872445
관악구3514033312121137222923552614
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" + ], + "text/plain": [ + " 강간 검거 강간 발생 강도 검거 강도 발생 살인 검거 살인 발생 절도 검거 절도 발생 폭력 검거 폭력 발생\n", + "구별 \n", + "강남구 627 708 11 14 5 6 1491 2951 3111 3677\n", + "강동구 167 188 14 15 3 3 781 1640 1697 1942\n", + "강북구 132 159 4 5 8 9 490 780 1625 1817\n", + "강서구 222 265 5 6 9 10 1070 1689 2087 2445\n", + "관악구 351 403 3 3 12 12 1137 2229 2355 2614" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal_raw = pd.read_csv('../data/02. crime_in_Seoul_include_gu_name.csv', encoding='utf-8', index_col=0)\n", + "\n", + "crime_anal = pd.pivot_table(crime_anal_raw, index='구별', aggfunc=np.sum)\n", + "crime_anal.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "cda9e0e8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간 발생강도 발생살인 발생절도 발생폭력 발생강간검거율강도검거율살인검거율절도검거율폭력검거율
구별
강남구7081462951367788.55932278.57142983.33333350.52524684.607017
강동구1881531640194288.82978793.333333100.00000047.62195187.384140
강북구15959780181783.01886880.00000088.88888962.82051389.433132
강서구2656101689244583.77358583.33333390.00000063.35109585.357873
관악구4033122229261487.096774100.000000100.00000051.00942190.091813
광진구255421664167687.843137100.000000100.00000052.52403883.949881
구로구197561763220472.081218100.000000100.00000057.17526982.713249
금천구11774999147179.48717985.714286100.00000055.35535589.055065
노원구169341404216387.573964100.00000075.00000046.01139682.339344
도봉구82208611234106.097561100.000000NaN44.01858382.820097
동대문구1616101440178488.19875883.33333380.00000049.51388989.517937
동작구226111341163153.539823200.000000100.00000044.14616083.997548
마포구348491483184482.47126475.00000088.88888945.78557084.436009
서대문구159231077129293.71069250.000000100.00000048.65366879.643963
서초구396652021217376.51515266.666667100.00000047.50123781.914404
성동구115351016122385.217391100.000000100.00000055.61023690.188062
성북구14234988143085.21126866.666667100.00000058.70445386.713287
송파구2871362429267581.881533130.769231100.00000041.41622185.233645
양천구109351517158282.568807100.000000100.00000047.33025780.278129
영등포구315672188270180.00000083.33333357.14285743.55575979.859311
용산구230651111161780.869565100.00000060.00000048.06480682.065553
은평구171441371184084.79532275.000000100.00000055.14223288.206522
종로구192791183171176.041667100.00000066.66666750.21132782.992402
중구186521642157668.817204120.000000100.00000052.55785684.010152
중랑구1835101506202283.606557120.00000090.00000059.03054485.262117
\n", + "
" + ], + "text/plain": [ + " 강간 발생 강도 발생 살인 발생 절도 발생 폭력 발생 강간검거율 강도검거율 살인검거율 \\\n", + "구별 \n", + "강남구 708 14 6 2951 3677 88.559322 78.571429 83.333333 \n", + "강동구 188 15 3 1640 1942 88.829787 93.333333 100.000000 \n", + "강북구 159 5 9 780 1817 83.018868 80.000000 88.888889 \n", + "강서구 265 6 10 1689 2445 83.773585 83.333333 90.000000 \n", + "관악구 403 3 12 2229 2614 87.096774 100.000000 100.000000 \n", + "광진구 255 4 2 1664 1676 87.843137 100.000000 100.000000 \n", + "구로구 197 5 6 1763 2204 72.081218 100.000000 100.000000 \n", + "금천구 117 7 4 999 1471 79.487179 85.714286 100.000000 \n", + "노원구 169 3 4 1404 2163 87.573964 100.000000 75.000000 \n", + "도봉구 82 2 0 861 1234 106.097561 100.000000 NaN \n", + "동대문구 161 6 10 1440 1784 88.198758 83.333333 80.000000 \n", + "동작구 226 1 1 1341 1631 53.539823 200.000000 100.000000 \n", + "마포구 348 4 9 1483 1844 82.471264 75.000000 88.888889 \n", + "서대문구 159 2 3 1077 1292 93.710692 50.000000 100.000000 \n", + "서초구 396 6 5 2021 2173 76.515152 66.666667 100.000000 \n", + "성동구 115 3 5 1016 1223 85.217391 100.000000 100.000000 \n", + "성북구 142 3 4 988 1430 85.211268 66.666667 100.000000 \n", + "송파구 287 13 6 2429 2675 81.881533 130.769231 100.000000 \n", + "양천구 109 3 5 1517 1582 82.568807 100.000000 100.000000 \n", + "영등포구 315 6 7 2188 2701 80.000000 83.333333 57.142857 \n", + "용산구 230 6 5 1111 1617 80.869565 100.000000 60.000000 \n", + "은평구 171 4 4 1371 1840 84.795322 75.000000 100.000000 \n", + "종로구 192 7 9 1183 1711 76.041667 100.000000 66.666667 \n", + "중구 186 5 2 1642 1576 68.817204 120.000000 100.000000 \n", + "중랑구 183 5 10 1506 2022 83.606557 120.000000 90.000000 \n", + "\n", + " 절도검거율 폭력검거율 \n", + "구별 \n", + "강남구 50.525246 84.607017 \n", + "강동구 47.621951 87.384140 \n", + "강북구 62.820513 89.433132 \n", + "강서구 63.351095 85.357873 \n", + "관악구 51.009421 90.091813 \n", + "광진구 52.524038 83.949881 \n", + "구로구 57.175269 82.713249 \n", + "금천구 55.355355 89.055065 \n", + "노원구 46.011396 82.339344 \n", + "도봉구 44.018583 82.820097 \n", + "동대문구 49.513889 89.517937 \n", + "동작구 44.146160 83.997548 \n", + "마포구 45.785570 84.436009 \n", + "서대문구 48.653668 79.643963 \n", + "서초구 47.501237 81.914404 \n", + "성동구 55.610236 90.188062 \n", + "성북구 58.704453 86.713287 \n", + "송파구 41.416221 85.233645 \n", + "양천구 47.330257 80.278129 \n", + "영등포구 43.555759 79.859311 \n", + "용산구 48.064806 82.065553 \n", + "은평구 55.142232 88.206522 \n", + "종로구 50.211327 82.992402 \n", + "중구 52.557856 84.010152 \n", + "중랑구 59.030544 85.262117 " + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal['강간검거율'] = crime_anal['강간 검거']/crime_anal['강간 발생']*100\n", + "crime_anal['강도검거율'] = crime_anal['강도 검거']/crime_anal['강도 발생']*100\n", + "crime_anal['살인검거율'] = crime_anal['살인 검거']/crime_anal['살인 발생']*100\n", + "crime_anal['절도검거율'] = crime_anal['절도 검거']/crime_anal['절도 발생']*100\n", + "crime_anal['폭력검거율'] = crime_anal['폭력 검거']/crime_anal['폭력 발생']*100\n", + "\n", + "del crime_anal['강간 검거']\n", + "del crime_anal['강도 검거']\n", + "del crime_anal['살인 검거']\n", + "del crime_anal['절도 검거']\n", + "del crime_anal['폭력 검거']\n", + "\n", + "crime_anal" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "426c2702", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간 발생강도 발생살인 발생절도 발생폭력 발생강간검거율강도검거율살인검거율절도검거율폭력검거율
구별
강남구7081462951367788.55932278.57142983.33333350.52524684.607017
강동구1881531640194288.82978793.333333100.00000047.62195187.384140
강북구15959780181783.01886880.00000088.88888962.82051389.433132
강서구2656101689244583.77358583.33333390.00000063.35109585.357873
관악구4033122229261487.096774100.000000100.00000051.00942190.091813
\n", + "
" + ], + "text/plain": [ + " 강간 발생 강도 발생 살인 발생 절도 발생 폭력 발생 강간검거율 강도검거율 살인검거율 \\\n", + "구별 \n", + "강남구 708 14 6 2951 3677 88.559322 78.571429 83.333333 \n", + "강동구 188 15 3 1640 1942 88.829787 93.333333 100.000000 \n", + "강북구 159 5 9 780 1817 83.018868 80.000000 88.888889 \n", + "강서구 265 6 10 1689 2445 83.773585 83.333333 90.000000 \n", + "관악구 403 3 12 2229 2614 87.096774 100.000000 100.000000 \n", + "\n", + " 절도검거율 폭력검거율 \n", + "구별 \n", + "강남구 50.525246 84.607017 \n", + "강동구 47.621951 87.384140 \n", + "강북구 62.820513 89.433132 \n", + "강서구 63.351095 85.357873 \n", + "관악구 51.009421 90.091813 " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "con_list = ['강간검거율', '강도검거율', '살인검거율', '절도검거율', '폭력검거율']\n", + "\n", + "for column in con_list:\n", + " crime_anal.loc[crime_anal[column] > 100, column] = 100\n", + " \n", + "crime_anal.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "1af02d65", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간강도살인절도폭력강간검거율강도검거율살인검거율절도검거율폭력검거율
구별
강남구7081462951367788.55932278.57142983.33333350.52524684.607017
강동구1881531640194288.82978793.333333100.00000047.62195187.384140
강북구15959780181783.01886880.00000088.88888962.82051389.433132
강서구2656101689244583.77358583.33333390.00000063.35109585.357873
관악구4033122229261487.096774100.000000100.00000051.00942190.091813
\n", + "
" + ], + "text/plain": [ + " 강간 강도 살인 절도 폭력 강간검거율 강도검거율 살인검거율 절도검거율 \\\n", + "구별 \n", + "강남구 708 14 6 2951 3677 88.559322 78.571429 83.333333 50.525246 \n", + "강동구 188 15 3 1640 1942 88.829787 93.333333 100.000000 47.621951 \n", + "강북구 159 5 9 780 1817 83.018868 80.000000 88.888889 62.820513 \n", + "강서구 265 6 10 1689 2445 83.773585 83.333333 90.000000 63.351095 \n", + "관악구 403 3 12 2229 2614 87.096774 100.000000 100.000000 51.009421 \n", + "\n", + " 폭력검거율 \n", + "구별 \n", + "강남구 84.607017 \n", + "강동구 87.384140 \n", + "강북구 89.433132 \n", + "강서구 85.357873 \n", + "관악구 90.091813 " + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crime_anal.rename(columns = {'강간 발생':'강간', \n", + " '강도 발생':'강도', \n", + " '살인 발생':'살인', \n", + " '절도 발생':'절도', \n", + " '폭력 발생':'폭력'}, inplace=True)\n", + "crime_anal.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "c1d09dcd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간강도살인절도폭력강간검거율강도검거율살인검거율절도검거율폭력검거율
구별
강남구1.0000000.9285710.5000001.0000001.00000088.55932278.57142983.33333350.52524684.607017
강동구0.1693291.0000000.2500000.3961310.29299188.82978793.333333100.00000047.62195187.384140
강북구0.1230030.2857140.7500000.0000000.24205483.01886880.00000088.88888962.82051389.433132
강서구0.2923320.3571430.8333330.4187010.49796383.77358583.33333390.00000063.35109585.357873
관악구0.5127800.1428571.0000000.6674340.56683087.096774100.000000100.00000051.00942190.091813
\n", + "
" + ], + "text/plain": [ + " 강간 강도 살인 절도 폭력 강간검거율 강도검거율 \\\n", + "구별 \n", + "강남구 1.000000 0.928571 0.500000 1.000000 1.000000 88.559322 78.571429 \n", + "강동구 0.169329 1.000000 0.250000 0.396131 0.292991 88.829787 93.333333 \n", + "강북구 0.123003 0.285714 0.750000 0.000000 0.242054 83.018868 80.000000 \n", + "강서구 0.292332 0.357143 0.833333 0.418701 0.497963 83.773585 83.333333 \n", + "관악구 0.512780 0.142857 1.000000 0.667434 0.566830 87.096774 100.000000 \n", + "\n", + " 살인검거율 절도검거율 폭력검거율 \n", + "구별 \n", + "강남구 83.333333 50.525246 84.607017 \n", + "강동구 100.000000 47.621951 87.384140 \n", + "강북구 88.888889 62.820513 89.433132 \n", + "강서구 90.000000 63.351095 85.357873 \n", + "관악구 100.000000 51.009421 90.091813 " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn import preprocessing\n", + "\n", + "col = ['강간', '강도', '살인', '절도', '폭력']\n", + "\n", + "x = crime_anal[col].values\n", + "min_max_scaler = preprocessing.MinMaxScaler()\n", + "\n", + "x_scaled = min_max_scaler.fit_transform(x.astype(float))\n", + "crime_anal_norm = pd.DataFrame(x_scaled, columns = col, index = crime_anal.index)\n", + "\n", + "col2 = ['강간검거율', '강도검거율', '살인검거율', '절도검거율', '폭력검거율']\n", + "crime_anal_norm[col2] = crime_anal[col2]\n", + "crime_anal_norm.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "93881673", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간강도살인절도폭력강간검거율강도검거율살인검거율절도검거율폭력검거율범죄
구별
강남구1.0000000.9285710.5000001.0000001.00000088.55932278.57142983.33333350.52524684.6070174.428571
강동구0.1693291.0000000.2500000.3961310.29299188.82978793.333333100.00000047.62195187.3841402.108451
강북구0.1230030.2857140.7500000.0000000.24205483.01886880.00000088.88888962.82051389.4331321.400771
강서구0.2923320.3571430.8333330.4187010.49796383.77358583.33333390.00000063.35109585.3578732.399472
관악구0.5127800.1428571.0000000.6674340.56683087.096774100.000000100.00000051.00942190.0918132.889901
\n", + "
" + ], + "text/plain": [ + " 강간 강도 살인 절도 폭력 강간검거율 강도검거율 \\\n", + "구별 \n", + "강남구 1.000000 0.928571 0.500000 1.000000 1.000000 88.559322 78.571429 \n", + "강동구 0.169329 1.000000 0.250000 0.396131 0.292991 88.829787 93.333333 \n", + "강북구 0.123003 0.285714 0.750000 0.000000 0.242054 83.018868 80.000000 \n", + "강서구 0.292332 0.357143 0.833333 0.418701 0.497963 83.773585 83.333333 \n", + "관악구 0.512780 0.142857 1.000000 0.667434 0.566830 87.096774 100.000000 \n", + "\n", + " 살인검거율 절도검거율 폭력검거율 범죄 \n", + "구별 \n", + "강남구 83.333333 50.525246 84.607017 4.428571 \n", + "강동구 100.000000 47.621951 87.384140 2.108451 \n", + "강북구 88.888889 62.820513 89.433132 1.400771 \n", + "강서구 90.000000 63.351095 85.357873 2.399472 \n", + "관악구 100.000000 51.009421 90.091813 2.889901 " + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "col = ['강간','강도','살인','절도','폭력']\n", + "crime_anal_norm['범죄'] = np.sum(crime_anal_norm[col], axis=1)\n", + "crime_anal_norm.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "dd3512e3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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강간강도살인절도폭력강간검거율강도검거율살인검거율절도검거율폭력검거율범죄검거
구별
강남구1.0000000.9285710.5000001.0000001.00000088.55932278.57142983.33333350.52524684.6070174.428571385.596346
강동구0.1693291.0000000.2500000.3961310.29299188.82978793.333333100.00000047.62195187.3841402.108451417.169212
강북구0.1230030.2857140.7500000.0000000.24205483.01886880.00000088.88888962.82051389.4331321.400771404.161401
강서구0.2923320.3571430.8333330.4187010.49796383.77358583.33333390.00000063.35109585.3578732.399472405.815887
관악구0.5127800.1428571.0000000.6674340.56683087.096774100.000000100.00000051.00942190.0918132.889901428.198009
\n", + "
" + ], + "text/plain": [ + " 강간 강도 살인 절도 폭력 강간검거율 강도검거율 \\\n", + "구별 \n", + "강남구 1.000000 0.928571 0.500000 1.000000 1.000000 88.559322 78.571429 \n", + "강동구 0.169329 1.000000 0.250000 0.396131 0.292991 88.829787 93.333333 \n", + "강북구 0.123003 0.285714 0.750000 0.000000 0.242054 83.018868 80.000000 \n", + "강서구 0.292332 0.357143 0.833333 0.418701 0.497963 83.773585 83.333333 \n", + "관악구 0.512780 0.142857 1.000000 0.667434 0.566830 87.096774 100.000000 \n", + "\n", + " 살인검거율 절도검거율 폭력검거율 범죄 검거 \n", + "구별 \n", + "강남구 83.333333 50.525246 84.607017 4.428571 385.596346 \n", + "강동구 100.000000 47.621951 87.384140 2.108451 417.169212 \n", + "강북구 88.888889 62.820513 89.433132 1.400771 404.161401 \n", + "강서구 90.000000 63.351095 85.357873 2.399472 405.815887 \n", + "관악구 100.000000 51.009421 90.091813 2.889901 428.198009 " + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "col = ['강간검거율','강도검거율','살인검거율','절도검거율','폭력검거율']\n", + "crime_anal_norm['검거'] = np.sum(crime_anal_norm[col], axis=1)\n", + "crime_anal_norm.head()" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "70aaa83e", + "id": "03cbf460", "metadata": {}, "outputs": [], "source": [] @@ -346,7 +3556,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9e84af47", + "id": "0c81c376", "metadata": {}, "outputs": [], "source": [] From 1b69dfdfc686b05d0eef8a45d8cc0d20e6995f8a Mon Sep 17 00:00:00 2001 From: SH Date: Thu, 3 Mar 2022 00:47:56 +0900 Subject: [PATCH 4/5] change filename --- SH | 1 + ...\353\266\204\354\204\235-checkpoint.ipynb" | 13 + ...\353\266\204\354\204\235-checkpoint.ipynb" | 13 + ...55\231\251 \353\266\204\354\204\235.ipynb" | 4214 ++++++++++++----- ...55\231\251 \353\266\204\354\204\235.ipynb" | 13 + 5 files changed, 2993 insertions(+), 1261 deletions(-) create mode 160000 SH rename source_code/Untitled.ipynb => "source_code/.ipynb_checkpoints/01. \354\204\234\354\232\270\354\213\234 \352\265\254\353\263\204 CCTV \355\230\204\355\231\251 \353\266\204\354\204\235-checkpoint.ipynb" (99%) rename source_code/.ipynb_checkpoints/Untitled1-checkpoint.ipynb => "source_code/.ipynb_checkpoints/02. \354\204\234\354\232\270\354\213\234 \353\262\224\354\243\204 \355\230\204\355\231\251 \353\266\204\354\204\235-checkpoint.ipynb" (99%) rename source_code/.ipynb_checkpoints/Untitled-checkpoint.ipynb => "source_code/01. \354\204\234\354\232\270\354\213\234 \352\265\254\353\263\204 CCTV \355\230\204\355\231\251 \353\266\204\354\204\235.ipynb" (66%) rename source_code/Untitled1.ipynb => "source_code/02. \354\204\234\354\232\270\354\213\234 \353\262\224\354\243\204 \355\230\204\355\231\251 \353\266\204\354\204\235.ipynb" (99%) diff --git a/SH b/SH new file mode 160000 index 0000000..94ac45e --- /dev/null +++ b/SH @@ -0,0 +1 @@ +Subproject commit 94ac45e5a3549fcbb611fc601f7d292edd6ef79d diff --git a/source_code/Untitled.ipynb "b/source_code/.ipynb_checkpoints/01. \354\204\234\354\232\270\354\213\234 \352\265\254\353\263\204 CCTV \355\230\204\355\231\251 \353\266\204\354\204\235-checkpoint.ipynb" similarity index 99% rename from source_code/Untitled.ipynb rename to "source_code/.ipynb_checkpoints/01. \354\204\234\354\232\270\354\213\234 \352\265\254\353\263\204 CCTV \355\230\204\355\231\251 \353\266\204\354\204\235-checkpoint.ipynb" index 2f95caf..cecb89f 100644 --- a/source_code/Untitled.ipynb +++ "b/source_code/.ipynb_checkpoints/01. \354\204\234\354\232\270\354\213\234 \352\265\254\353\263\204 CCTV \355\230\204\355\231\251 \353\266\204\354\204\235-checkpoint.ipynb" @@ -8502,6 +8502,19 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.9" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false } }, "nbformat": 4, diff --git a/source_code/.ipynb_checkpoints/Untitled1-checkpoint.ipynb "b/source_code/.ipynb_checkpoints/02. \354\204\234\354\232\270\354\213\234 \353\262\224\354\243\204 \355\230\204\355\231\251 \353\266\204\354\204\235-checkpoint.ipynb" similarity index 99% rename from source_code/.ipynb_checkpoints/Untitled1-checkpoint.ipynb rename to "source_code/.ipynb_checkpoints/02. \354\204\234\354\232\270\354\213\234 \353\262\224\354\243\204 \355\230\204\355\231\251 \353\266\204\354\204\235-checkpoint.ipynb" index cfb8530..d9f585d 100644 --- a/source_code/.ipynb_checkpoints/Untitled1-checkpoint.ipynb +++ "b/source_code/.ipynb_checkpoints/02. \354\204\234\354\232\270\354\213\234 \353\262\224\354\243\204 \355\230\204\355\231\251 \353\266\204\354\204\235-checkpoint.ipynb" @@ -3579,6 +3579,19 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.9" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false } }, "nbformat": 4, diff --git a/source_code/.ipynb_checkpoints/Untitled-checkpoint.ipynb "b/source_code/01. \354\204\234\354\232\270\354\213\234 \352\265\254\353\263\204 CCTV \355\230\204\355\231\251 \353\266\204\354\204\235.ipynb" similarity index 66% rename from source_code/.ipynb_checkpoints/Untitled-checkpoint.ipynb rename to "source_code/01. \354\204\234\354\232\270\354\213\234 \352\265\254\353\263\204 CCTV \355\230\204\355\231\251 \353\266\204\354\204\235.ipynb" index 7d5ed90..cecb89f 100644 --- a/source_code/.ipynb_checkpoints/Untitled-checkpoint.ipynb +++ "b/source_code/01. \354\204\234\354\232\270\354\213\234 \352\265\254\353\263\204 CCTV \355\230\204\355\231\251 \353\266\204\354\204\235.ipynb" @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 2, "id": "8db62392", "metadata": {}, "outputs": [ @@ -50,29 +50,31 @@ " 2019년\n", " 2020년\n", " 2021년\n", + " Unnamed: 13\n", " \n", " \n", " \n", " \n", " 0\n", " 계\n", - " 77,032\n", - " 7,667\n", - " 2,200\n", - " 3,491\n", - " 4,439\n", - " 6,582\n", - " 8,129\n", - " 9,947\n", - " 9,876\n", - " 11,961\n", - " 11,132\n", - " 1,608\n", + " 77032\n", + " 7667\n", + " 2200\n", + " 3491\n", + " 4439\n", + " 6582\n", + " 8129\n", + " 9947\n", + " 9876\n", + " 11961\n", + " 11132\n", + " 1608\n", + " NaN\n", " \n", " \n", " 1\n", " 종로구\n", - " 1,772\n", + " 1772\n", " 813\n", " 0\n", " 0\n", @@ -84,11 +86,12 @@ " 9\n", " 200\n", " 43\n", + " NaN\n", " \n", " \n", " 2\n", " 중 구\n", - " 2,333\n", + " 2333\n", " 16\n", " 114\n", " 87\n", @@ -100,11 +103,12 @@ " 155\n", " 361\n", " 289\n", + " NaN\n", " \n", " \n", " 3\n", " 용산구\n", - " 2,383\n", + " 2383\n", " 34\n", " 71\n", " 234\n", @@ -116,11 +120,12 @@ " 307\n", " 617\n", " 0\n", + " NaN\n", " \n", " \n", " 4\n", " 성동구\n", - " 3,602\n", + " 3602\n", " 448\n", " 125\n", " 212\n", @@ -132,28 +137,29 @@ " 262\n", " 461\n", " 76\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " 구분 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", - "0 계 77,032 7,667 2,200 3,491 4,439 6,582 8,129 9,947 9,876 \n", - "1 종로구 1,772 813 0 0 210 150 1 261 85 \n", - "2 중 구 2,333 16 114 87 77 236 240 372 386 \n", - "3 용산구 2,383 34 71 234 125 221 298 351 125 \n", - "4 성동구 3,602 448 125 212 105 339 310 874 390 \n", - "\n", - " 2019년 2020년 2021년 \n", - "0 11,961 11,132 1,608 \n", - "1 9 200 43 \n", - "2 155 361 289 \n", - "3 307 617 0 \n", - "4 262 461 76 " + " 구분 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 계 77032 7667 2200 3491 4439 6582 8129 9947 9876 \n", + "1 종로구 1772 813 0 0 210 150 1 261 85 \n", + "2 중 구 2333 16 114 87 77 236 240 372 386 \n", + "3 용산구 2383 34 71 234 125 221 298 351 125 \n", + "4 성동구 3602 448 125 212 105 339 310 874 390 \n", + "\n", + " 2019년 2020년 2021년 Unnamed: 13 \n", + "0 11961 11132 1608 NaN \n", + "1 9 200 43 NaN \n", + "2 155 361 289 NaN \n", + "3 307 617 0 NaN \n", + "4 262 461 76 NaN " ] }, - "execution_count": 114, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -161,24 +167,36 @@ "source": [ "CCTV_Seoul = pd.read_csv('../data/01. CCTV_in_Seoul.csv', encoding='euc-kr')\n", "CCTV_Seoul.head()\n", - "# 책에서는 encoding='utf-8'이었지만 뭐가 바뀌었는지 'euc-kr'로 해야한다.." + "# 책에서는 encoding='utf-8'이었지만 뭐가 바뀌었는지 'euc-kr'로 해야한다..\n", + "# encoding='euc-kr'로 해서 str로 인식되는건가" ] }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 45, + "id": "4a5acef0", + "metadata": {}, + "outputs": [], + "source": [ + "CCTV_Seoul.drop(['Unnamed: 13'], axis = 1, inplace = True)\n", + "# 원본을 수정하니 'Unnamed: 13'이 생겨서 삭제함" + ] + }, + { + "cell_type": "code", + "execution_count": 46, "id": "f129d138", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Index(['구분', '총계', '2012년 이전', '2012년', '2013년', '2014년', '2015년', '2016년',\n", + "Index(['구별', '총계', '2012년 이전', '2012년', '2013년', '2014년', '2015년', '2016년',\n", " '2017년', '2018년', '2019년', '2020년', '2021년'],\n", " dtype='object')" ] }, - "execution_count": 117, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -189,8 +207,8 @@ }, { "cell_type": "code", - "execution_count": 118, - "id": "d601dfef", + "execution_count": 4, + "id": "305322c7", "metadata": {}, "outputs": [ { @@ -227,29 +245,31 @@ " 2019년\n", " 2020년\n", " 2021년\n", + " Unnamed: 13\n", " \n", " \n", " \n", " \n", " 0\n", " 계\n", - " 77,032\n", - " 7,667\n", - " 2,200\n", - " 3,491\n", - " 4,439\n", - " 6,582\n", - " 8,129\n", - " 9,947\n", - " 9,876\n", - " 11,961\n", - " 11,132\n", - " 1,608\n", + " 77032\n", + " 7667\n", + " 2200\n", + " 3491\n", + " 4439\n", + " 6582\n", + " 8129\n", + " 9947\n", + " 9876\n", + " 11961\n", + " 11132\n", + " 1608\n", + " NaN\n", " \n", " \n", " 1\n", " 종로구\n", - " 1,772\n", + " 1772\n", " 813\n", " 0\n", " 0\n", @@ -261,11 +281,12 @@ " 9\n", " 200\n", " 43\n", + " NaN\n", " \n", " \n", " 2\n", " 중 구\n", - " 2,333\n", + " 2333\n", " 16\n", " 114\n", " 87\n", @@ -277,11 +298,12 @@ " 155\n", " 361\n", " 289\n", + " NaN\n", " \n", " \n", " 3\n", " 용산구\n", - " 2,383\n", + " 2383\n", " 34\n", " 71\n", " 234\n", @@ -293,11 +315,12 @@ " 307\n", " 617\n", " 0\n", + " NaN\n", " \n", " \n", " 4\n", " 성동구\n", - " 3,602\n", + " 3602\n", " 448\n", " 125\n", " 212\n", @@ -309,28 +332,29 @@ " 262\n", " 461\n", " 76\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", - "0 계 77,032 7,667 2,200 3,491 4,439 6,582 8,129 9,947 9,876 \n", - "1 종로구 1,772 813 0 0 210 150 1 261 85 \n", - "2 중 구 2,333 16 114 87 77 236 240 372 386 \n", - "3 용산구 2,383 34 71 234 125 221 298 351 125 \n", - "4 성동구 3,602 448 125 212 105 339 310 874 390 \n", - "\n", - " 2019년 2020년 2021년 \n", - "0 11,961 11,132 1,608 \n", - "1 9 200 43 \n", - "2 155 361 289 \n", - "3 307 617 0 \n", - "4 262 461 76 " + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 계 77032 7667 2200 3491 4439 6582 8129 9947 9876 \n", + "1 종로구 1772 813 0 0 210 150 1 261 85 \n", + "2 중 구 2333 16 114 87 77 236 240 372 386 \n", + "3 용산구 2383 34 71 234 125 221 298 351 125 \n", + "4 성동구 3602 448 125 212 105 339 310 874 390 \n", + "\n", + " 2019년 2020년 2021년 Unnamed: 13 \n", + "0 11961 11132 1608 NaN \n", + "1 9 200 43 NaN \n", + "2 155 361 289 NaN \n", + "3 307 617 0 NaN \n", + "4 262 461 76 NaN " ] }, - "execution_count": 118, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -342,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 5, "id": "3f58149c", "metadata": {}, "outputs": [ @@ -489,7 +513,7 @@ "4 9288 4453 4835 1.93 24392 " ] }, - "execution_count": 116, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -501,7 +525,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "8cbe30a5", "metadata": {}, "outputs": [ @@ -648,7 +672,7 @@ "4 9288 4453 4835 1.93 24392 " ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -661,7 +685,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "0cb2fb80", "metadata": {}, "outputs": [ @@ -747,7 +771,7 @@ "4 성동구 292672 285990 6682 46380" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -756,12 +780,13 @@ "pop_Seoul = pd.read_excel('../data/01. population_in_Seoul.xls', \n", " header = 2,\n", " usecols = 'B, D, G, J, N')\n", + "# parse_cols 대신 usecols\n", "pop_Seoul.head()" ] }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 8, "id": "56723b69", "metadata": {}, "outputs": [ @@ -791,124 +816,63 @@ " 한국인\n", " 외국인\n", " 고령자\n", - " 인구.2\n", - " 인구.3\n", - " 인구.4\n", - " 인구.5\n", - " 인구.6\n", - " 인구.7\n", - " 인구.8\n", - " 세대당인구\n", - " 65세이상고령자\n", " \n", " \n", " \n", " \n", " 0\n", - " 기간\n", - " 자치구\n", - " 세대\n", - " 합계\n", - " 합계\n", - " 합계\n", - " 한국인\n", - " 한국인\n", - " 한국인\n", - " 등록외국인\n", - " 등록외국인\n", - " 등록외국인\n", - " 세대당인구\n", - " 65세이상고령자\n", - " \n", - " \n", - " 1\n", - " 기간\n", - " 자치구\n", - " 세대\n", - " 계\n", - " 남자\n", - " 여자\n", - " 계\n", - " 남자\n", - " 여자\n", - " 계\n", - " 남자\n", - " 여자\n", - " 세대당인구\n", - " 65세이상고령자\n", - " \n", - " \n", - " 2\n", - " 2021\n", " 합계\n", - " 4426007\n", " 9736027\n", - " 4721977\n", - " 5014050\n", " 9509458\n", - " 4618040\n", - " 4891418\n", " 226569\n", - " 103937\n", - " 122632\n", - " 2.15\n", " 1605416\n", " \n", " \n", - " 3\n", - " 2021\n", + " 1\n", " 종로구\n", - " 73494\n", " 153789\n", - " 74186\n", - " 79603\n", " 144683\n", - " 70183\n", - " 74500\n", " 9106\n", - " 4003\n", - " 5103\n", - " 1.97\n", " 27818\n", " \n", " \n", - " 4\n", - " 2021\n", + " 2\n", " 중구\n", - " 63519\n", " 131787\n", - " 64083\n", - " 67704\n", " 122499\n", - " 59630\n", - " 62869\n", " 9288\n", - " 4453\n", - " 4835\n", - " 1.93\n", " 24392\n", " \n", + " \n", + " 3\n", + " 용산구\n", + " 237285\n", + " 222953\n", + " 14332\n", + " 39070\n", + " \n", + " \n", + " 4\n", + " 성동구\n", + " 292672\n", + " 285990\n", + " 6682\n", + " 46380\n", + " \n", " \n", "\n", "" ], "text/plain": [ - " 구별 인구수 한국인 외국인 고령자 인구.2 인구.3 인구.4 인구.5 \\\n", - "0 기간 자치구 세대 합계 합계 합계 한국인 한국인 한국인 \n", - "1 기간 자치구 세대 계 남자 여자 계 남자 여자 \n", - "2 2021 합계 4426007 9736027 4721977 5014050 9509458 4618040 4891418 \n", - "3 2021 종로구 73494 153789 74186 79603 144683 70183 74500 \n", - "4 2021 중구 63519 131787 64083 67704 122499 59630 62869 \n", - "\n", - " 인구.6 인구.7 인구.8 세대당인구 65세이상고령자 \n", - "0 등록외국인 등록외국인 등록외국인 세대당인구 65세이상고령자 \n", - "1 계 남자 여자 세대당인구 65세이상고령자 \n", - "2 226569 103937 122632 2.15 1605416 \n", - "3 9106 4003 5103 1.97 27818 \n", - "4 9288 4453 4835 1.93 24392 " + " 구별 인구수 한국인 외국인 고령자\n", + "0 합계 9736027 9509458 226569 1605416\n", + "1 종로구 153789 144683 9106 27818\n", + "2 중구 131787 122499 9288 24392\n", + "3 용산구 237285 222953 14332 39070\n", + "4 성동구 292672 285990 6682 46380" ] }, - "execution_count": 119, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -920,13 +884,13 @@ " pop_Seoul.columns[3] : '외국인', \n", " pop_Seoul.columns[4] : '고령자'}, inplace=True)\n", "# 대신에 pop_Seoul.columns = ['구별', '인구수', '한국인', '외국인', '고령자'] 로 표현할 수 있음.\n", - "\n", + "# inplace=True : 영구적으로 바꿔버리는것.\n", "pop_Seoul.head()\n" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "8d03dc79", "metadata": {}, "outputs": [], @@ -937,7 +901,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "b00a2ee4", "metadata": {}, "outputs": [ @@ -953,7 +917,7 @@ "dtype: float64" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -965,7 +929,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "id": "bd921d05", "metadata": {}, "outputs": [ @@ -977,7 +941,7 @@ " dtype='datetime64[ns]', freq='D')" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -989,7 +953,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "594304d2", "metadata": {}, "outputs": [ @@ -1023,45 +987,45 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", - " 1.130213\n", - " -1.196732\n", + " -0.201228\n", + " 2.283554\n", + " 0.064844\n", + " -1.918650\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", - " 1.788319\n", - " -0.248610\n", + " -0.184723\n", + " -1.515012\n", + " -1.573514\n", + " -0.835740\n", " \n", " \n", " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", - " 0.927084\n", - " -1.276234\n", + " 1.712010\n", + " -1.151720\n", + " 1.695294\n", + " -1.116556\n", " \n", " \n", " 2022-02-22\n", - " -1.437867\n", - " 0.396114\n", - " -1.892639\n", - " 0.559523\n", + " 0.787221\n", + " 1.815636\n", + " 1.696289\n", + " 2.223403\n", " \n", " \n", "\n", @@ -1069,15 +1033,15 @@ ], "text/plain": [ " A B C D\n", - "2022-02-17 -0.100987 -0.445779 1.130213 -1.196732\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876\n", - "2022-02-20 0.587214 -0.591995 1.788319 -0.248610\n", - "2022-02-21 0.333481 -1.062191 0.927084 -1.276234\n", - "2022-02-22 -1.437867 0.396114 -1.892639 0.559523" + "2022-02-17 -0.201228 2.283554 0.064844 -1.918650\n", + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612\n", + "2022-02-20 -0.184723 -1.515012 -1.573514 -0.835740\n", + "2022-02-21 1.712010 -1.151720 1.695294 -1.116556\n", + "2022-02-22 0.787221 1.815636 1.696289 2.223403" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1089,7 +1053,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "ed6de14d", "metadata": {}, "outputs": [ @@ -1123,24 +1087,24 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", - " 1.130213\n", - " -1.196732\n", + " -0.201228\n", + " 2.283554\n", + " 0.064844\n", + " -1.918650\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", "\n", @@ -1148,12 +1112,12 @@ ], "text/plain": [ " A B C D\n", - "2022-02-17 -0.100987 -0.445779 1.130213 -1.196732\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876" + "2022-02-17 -0.201228 2.283554 0.064844 -1.918650\n", + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1164,7 +1128,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "ef60bef9", "metadata": {}, "outputs": [ @@ -1176,7 +1140,7 @@ " dtype='datetime64[ns]', freq='D')" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1187,7 +1151,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "49f0dcd1", "metadata": {}, "outputs": [ @@ -1197,7 +1161,7 @@ "Index(['A', 'B', 'C', 'D'], dtype='object')" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1208,22 +1172,22 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "ba785c46", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[-0.10098723, -0.4457793 , 1.13021308, -1.19673172],\n", - " [-1.22442824, -0.50728236, -0.17701722, -2.03294398],\n", - " [ 0.26997643, -0.20841339, 0.64690645, -1.04687584],\n", - " [ 0.58721353, -0.591995 , 1.78831917, -0.24860981],\n", - " [ 0.33348141, -1.06219081, 0.92708373, -1.27623448],\n", - " [-1.43786703, 0.39611423, -1.89263862, 0.55952315]])" + "array([[-0.20122752, 2.28355366, 0.06484433, -1.91864979],\n", + " [-1.04273152, 0.26631227, -0.22944629, 0.24799954],\n", + " [ 0.4976758 , 0.27145287, 1.60466095, -0.31261181],\n", + " [-0.18472332, -1.51501246, -1.57351384, -0.83574049],\n", + " [ 1.71201044, -1.15172012, 1.69529392, -1.11655642],\n", + " [ 0.78722066, 1.81563626, 1.69628928, 2.2234032 ]])" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1234,7 +1198,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "id": "ddfab43f", "metadata": {}, "outputs": [ @@ -1263,7 +1227,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "id": "649d4a1d", "metadata": {}, "outputs": [ @@ -1304,52 +1268,52 @@ " \n", " \n", " mean\n", - " -0.262102\n", - " -0.403258\n", - " 0.403811\n", - " -0.873645\n", + " 0.261371\n", + " 0.328370\n", + " 0.543021\n", + " -0.285359\n", " \n", " \n", " std\n", - " 0.859490\n", - " 0.481540\n", - " 1.295259\n", - " 0.903890\n", + " 0.953980\n", + " 1.525157\n", + " 1.348326\n", + " 1.431122\n", " \n", " \n", " min\n", - " -1.437867\n", - " -1.062191\n", - " -1.892639\n", - " -2.032944\n", + " -1.042732\n", + " -1.515012\n", + " -1.573514\n", + " -1.918650\n", " \n", " \n", " 25%\n", - " -0.943568\n", - " -0.570817\n", - " 0.028964\n", - " -1.256359\n", + " -0.197101\n", + " -0.797212\n", + " -0.155874\n", + " -1.046352\n", " \n", " \n", " 50%\n", - " 0.084495\n", - " -0.476531\n", - " 0.786995\n", - " -1.121804\n", + " 0.156476\n", + " 0.268883\n", + " 0.834753\n", + " -0.574176\n", " \n", " \n", " 75%\n", - " 0.317605\n", - " -0.267755\n", - " 1.079431\n", - " -0.448176\n", + " 0.714834\n", + " 1.429590\n", + " 1.672636\n", + " 0.107847\n", " \n", " \n", " max\n", - " 0.587214\n", - " 0.396114\n", - " 1.788319\n", - " 0.559523\n", + " 1.712010\n", + " 2.283554\n", + " 1.696289\n", + " 2.223403\n", " \n", " \n", "\n", @@ -1358,16 +1322,16 @@ "text/plain": [ " A B C D\n", "count 6.000000 6.000000 6.000000 6.000000\n", - "mean -0.262102 -0.403258 0.403811 -0.873645\n", - "std 0.859490 0.481540 1.295259 0.903890\n", - "min -1.437867 -1.062191 -1.892639 -2.032944\n", - "25% -0.943568 -0.570817 0.028964 -1.256359\n", - "50% 0.084495 -0.476531 0.786995 -1.121804\n", - "75% 0.317605 -0.267755 1.079431 -0.448176\n", - "max 0.587214 0.396114 1.788319 0.559523" + "mean 0.261371 0.328370 0.543021 -0.285359\n", + "std 0.953980 1.525157 1.348326 1.431122\n", + "min -1.042732 -1.515012 -1.573514 -1.918650\n", + "25% -0.197101 -0.797212 -0.155874 -1.046352\n", + "50% 0.156476 0.268883 0.834753 -0.574176\n", + "75% 0.714834 1.429590 1.672636 0.107847\n", + "max 1.712010 2.283554 1.696289 2.223403" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1378,7 +1342,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "id": "7d5916c2", "metadata": {}, "outputs": [ @@ -1411,46 +1375,46 @@ " \n", " \n", " \n", - " 2022-02-22\n", - " -1.437867\n", - " 0.396114\n", - " -1.892639\n", - " 0.559523\n", + " 2022-02-17\n", + " -0.201228\n", + " 2.283554\n", + " 0.064844\n", + " -1.918650\n", " \n", " \n", - " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 2022-02-22\n", + " 0.787221\n", + " 1.815636\n", + " 1.696289\n", + " 2.223403\n", " \n", " \n", - " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", - " 1.130213\n", - " -1.196732\n", + " 2022-02-19\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " \n", " \n", - " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", - " 1.788319\n", - " -0.248610\n", + " 2022-02-21\n", + " 1.712010\n", + " -1.151720\n", + " 1.695294\n", + " -1.116556\n", " \n", " \n", - " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", - " 0.927084\n", - " -1.276234\n", + " 2022-02-20\n", + " -0.184723\n", + " -1.515012\n", + " -1.573514\n", + " -0.835740\n", " \n", " \n", "\n", @@ -1458,15 +1422,15 @@ ], "text/plain": [ " A B C D\n", - "2022-02-22 -1.437867 0.396114 -1.892639 0.559523\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876\n", - "2022-02-17 -0.100987 -0.445779 1.130213 -1.196732\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944\n", - "2022-02-20 0.587214 -0.591995 1.788319 -0.248610\n", - "2022-02-21 0.333481 -1.062191 0.927084 -1.276234" + "2022-02-17 -0.201228 2.283554 0.064844 -1.918650\n", + "2022-02-22 0.787221 1.815636 1.696289 2.223403\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612\n", + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000\n", + "2022-02-21 1.712010 -1.151720 1.695294 -1.116556\n", + "2022-02-20 -0.184723 -1.515012 -1.573514 -0.835740" ] }, - "execution_count": 18, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1477,7 +1441,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "id": "50609476", "metadata": {}, "outputs": [ @@ -1511,45 +1475,45 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", - " 1.130213\n", - " -1.196732\n", + " -0.201228\n", + " 2.283554\n", + " 0.064844\n", + " -1.918650\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", - " 1.788319\n", - " -0.248610\n", + " -0.184723\n", + " -1.515012\n", + " -1.573514\n", + " -0.835740\n", " \n", " \n", " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", - " 0.927084\n", - " -1.276234\n", + " 1.712010\n", + " -1.151720\n", + " 1.695294\n", + " -1.116556\n", " \n", " \n", " 2022-02-22\n", - " -1.437867\n", - " 0.396114\n", - " -1.892639\n", - " 0.559523\n", + " 0.787221\n", + " 1.815636\n", + " 1.696289\n", + " 2.223403\n", " \n", " \n", "\n", @@ -1557,15 +1521,15 @@ ], "text/plain": [ " A B C D\n", - "2022-02-17 -0.100987 -0.445779 1.130213 -1.196732\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876\n", - "2022-02-20 0.587214 -0.591995 1.788319 -0.248610\n", - "2022-02-21 0.333481 -1.062191 0.927084 -1.276234\n", - "2022-02-22 -1.437867 0.396114 -1.892639 0.559523" + "2022-02-17 -0.201228 2.283554 0.064844 -1.918650\n", + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612\n", + "2022-02-20 -0.184723 -1.515012 -1.573514 -0.835740\n", + "2022-02-21 1.712010 -1.151720 1.695294 -1.116556\n", + "2022-02-22 0.787221 1.815636 1.696289 2.223403" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1576,23 +1540,23 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "id": "8573d31b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "2022-02-17 -0.100987\n", - "2022-02-18 -1.224428\n", - "2022-02-19 0.269976\n", - "2022-02-20 0.587214\n", - "2022-02-21 0.333481\n", - "2022-02-22 -1.437867\n", + "2022-02-17 -0.201228\n", + "2022-02-18 -1.042732\n", + "2022-02-19 0.497676\n", + "2022-02-20 -0.184723\n", + "2022-02-21 1.712010\n", + "2022-02-22 0.787221\n", "Freq: D, Name: A, dtype: float64" ] }, - "execution_count": 20, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1603,7 +1567,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "id": "65337c62", "metadata": {}, "outputs": [ @@ -1637,24 +1601,24 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", - " 1.130213\n", - " -1.196732\n", + " -0.201228\n", + " 2.283554\n", + " 0.064844\n", + " -1.918650\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", "\n", @@ -1662,12 +1626,12 @@ ], "text/plain": [ " A B C D\n", - "2022-02-17 -0.100987 -0.445779 1.130213 -1.196732\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876" + "2022-02-17 -0.201228 2.283554 0.064844 -1.918650\n", + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612" ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1678,7 +1642,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "id": "5dec4f7e", "metadata": {}, "outputs": [ @@ -1712,24 +1676,24 @@ " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", - " 1.788319\n", - " -0.248610\n", + " -0.184723\n", + " -1.515012\n", + " -1.573514\n", + " -0.835740\n", " \n", " \n", "\n", @@ -1737,12 +1701,12 @@ ], "text/plain": [ " A B C D\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876\n", - "2022-02-20 0.587214 -0.591995 1.788319 -0.248610" + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612\n", + "2022-02-20 -0.184723 -1.515012 -1.573514 -0.835740" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -1753,21 +1717,21 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "id": "8ea65dbc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "A -0.100987\n", - "B -0.445779\n", - "C 1.130213\n", - "D -1.196732\n", + "A -0.201228\n", + "B 2.283554\n", + "C 0.064844\n", + "D -1.918650\n", "Name: 2022-02-17 00:00:00, dtype: float64" ] }, - "execution_count": 23, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1778,7 +1742,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "id": "29585d80", "metadata": {}, "outputs": [ @@ -1810,33 +1774,33 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", + " -0.201228\n", + " 2.283554\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", + " -1.042732\n", + " 0.266312\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", + " 0.497676\n", + " 0.271453\n", " \n", " \n", " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", + " -0.184723\n", + " -1.515012\n", " \n", " \n", " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", + " 1.712010\n", + " -1.151720\n", " \n", " \n", " 2022-02-22\n", - " -1.437867\n", - " 0.396114\n", + " 0.787221\n", + " 1.815636\n", " \n", " \n", "\n", @@ -1844,15 +1808,15 @@ ], "text/plain": [ " A B\n", - "2022-02-17 -0.100987 -0.445779\n", - "2022-02-18 -1.224428 -0.507282\n", - "2022-02-19 0.269976 -0.208413\n", - "2022-02-20 0.587214 -0.591995\n", - "2022-02-21 0.333481 -1.062191\n", - "2022-02-22 -1.437867 0.396114" + "2022-02-17 -0.201228 2.283554\n", + "2022-02-18 -1.042732 0.266312\n", + "2022-02-19 0.497676 0.271453\n", + "2022-02-20 -0.184723 -1.515012\n", + "2022-02-21 1.712010 -1.151720\n", + "2022-02-22 0.787221 1.815636" ] }, - "execution_count": 24, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1863,7 +1827,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "id": "debde776", "metadata": {}, "outputs": [ @@ -1895,13 +1859,13 @@ " \n", " \n", " 2022-02-18\n", - " -0.507282\n", - " -0.177017\n", + " 0.266312\n", + " -0.229446\n", " \n", " \n", " 2022-02-19\n", - " -0.208413\n", - " 0.646906\n", + " 0.271453\n", + " 1.604661\n", " \n", " \n", "\n", @@ -1909,11 +1873,11 @@ ], "text/plain": [ " B C\n", - "2022-02-18 -0.507282 -0.177017\n", - "2022-02-19 -0.208413 0.646906" + "2022-02-18 0.266312 -0.229446\n", + "2022-02-19 0.271453 1.604661" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -1924,18 +1888,18 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "id": "cf4926a7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "D -1.046876\n", + "D -0.312612\n", "Name: 2022-02-19 00:00:00, dtype: float64" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1946,7 +1910,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "id": "a28a4f2f", "metadata": {}, "outputs": [ @@ -1980,45 +1944,45 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", - " 1.130213\n", - " -1.196732\n", + " -0.201228\n", + " 2.283554\n", + " 0.064844\n", + " -1.918650\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", - " 1.788319\n", - " -0.248610\n", + " -0.184723\n", + " -1.515012\n", + " -1.573514\n", + " -0.835740\n", " \n", " \n", " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", - " 0.927084\n", - " -1.276234\n", + " 1.712010\n", + " -1.151720\n", + " 1.695294\n", + " -1.116556\n", " \n", " \n", " 2022-02-22\n", - " -1.437867\n", - " 0.396114\n", - " -1.892639\n", - " 0.559523\n", + " 0.787221\n", + " 1.815636\n", + " 1.696289\n", + " 2.223403\n", " \n", " \n", "\n", @@ -2026,15 +1990,15 @@ ], "text/plain": [ " A B C D\n", - "2022-02-17 -0.100987 -0.445779 1.130213 -1.196732\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876\n", - "2022-02-20 0.587214 -0.591995 1.788319 -0.248610\n", - "2022-02-21 0.333481 -1.062191 0.927084 -1.276234\n", - "2022-02-22 -1.437867 0.396114 -1.892639 0.559523" + "2022-02-17 -0.201228 2.283554 0.064844 -1.918650\n", + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612\n", + "2022-02-20 -0.184723 -1.515012 -1.573514 -0.835740\n", + "2022-02-21 1.712010 -1.151720 1.695294 -1.116556\n", + "2022-02-22 0.787221 1.815636 1.696289 2.223403" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2045,21 +2009,21 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "id": "a79de6eb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "A 0.587214\n", - "B -0.591995\n", - "C 1.788319\n", - "D -0.248610\n", + "A -0.184723\n", + "B -1.515012\n", + "C -1.573514\n", + "D -0.835740\n", "Name: 2022-02-20 00:00:00, dtype: float64" ] }, - "execution_count": 28, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2070,7 +2034,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "id": "8644a391", "metadata": {}, "outputs": [ @@ -2102,13 +2066,13 @@ " \n", " \n", " 2022-02-20\n", - " -0.591995\n", - " 1.788319\n", + " -1.515012\n", + " -1.573514\n", " \n", " \n", " 2022-02-21\n", - " -1.062191\n", - " 0.927084\n", + " -1.151720\n", + " 1.695294\n", " \n", " \n", "\n", @@ -2116,11 +2080,11 @@ ], "text/plain": [ " B C\n", - "2022-02-20 -0.591995 1.788319\n", - "2022-02-21 -1.062191 0.927084" + "2022-02-20 -1.515012 -1.573514\n", + "2022-02-21 -1.151720 1.695294" ] }, - "execution_count": 29, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -2131,7 +2095,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "id": "9e897aa4", "metadata": {}, "outputs": [ @@ -2165,17 +2129,17 @@ " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", "\n", @@ -2183,11 +2147,11 @@ ], "text/plain": [ " A B C D\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876" + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612" ] }, - "execution_count": 30, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -2198,7 +2162,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "id": "64799573", "metadata": {}, "outputs": [ @@ -2230,33 +2194,33 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", + " -0.201228\n", + " 2.283554\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", + " -1.042732\n", + " 0.266312\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", + " 0.497676\n", + " 0.271453\n", " \n", " \n", " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", + " -0.184723\n", + " -1.515012\n", " \n", " \n", " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", + " 1.712010\n", + " -1.151720\n", " \n", " \n", " 2022-02-22\n", - " -1.437867\n", - " 0.396114\n", + " 0.787221\n", + " 1.815636\n", " \n", " \n", "\n", @@ -2264,15 +2228,15 @@ ], "text/plain": [ " A B\n", - "2022-02-17 -0.100987 -0.445779\n", - "2022-02-18 -1.224428 -0.507282\n", - "2022-02-19 0.269976 -0.208413\n", - "2022-02-20 0.587214 -0.591995\n", - "2022-02-21 0.333481 -1.062191\n", - "2022-02-22 -1.437867 0.396114" + "2022-02-17 -0.201228 2.283554\n", + "2022-02-18 -1.042732 0.266312\n", + "2022-02-19 0.497676 0.271453\n", + "2022-02-20 -0.184723 -1.515012\n", + "2022-02-21 1.712010 -1.151720\n", + "2022-02-22 0.787221 1.815636" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -2283,7 +2247,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "id": "e4bb3f4f", "metadata": {}, "outputs": [ @@ -2317,24 +2281,24 @@ " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " \n", " \n", - " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", - " 1.788319\n", - " -0.248610\n", + " 2022-02-21\n", + " 1.712010\n", + " -1.151720\n", + " 1.695294\n", + " -1.116556\n", " \n", " \n", - " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", - " 0.927084\n", - " -1.276234\n", + " 2022-02-22\n", + " 0.787221\n", + " 1.815636\n", + " 1.696289\n", + " 2.223403\n", " \n", " \n", "\n", @@ -2342,12 +2306,12 @@ ], "text/plain": [ " A B C D\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876\n", - "2022-02-20 0.587214 -0.591995 1.788319 -0.248610\n", - "2022-02-21 0.333481 -1.062191 0.927084 -1.276234" + "2022-02-19 0.497676 0.271453 1.604661 -0.312612\n", + "2022-02-21 1.712010 -1.151720 1.695294 -1.116556\n", + "2022-02-22 0.787221 1.815636 1.696289 2.223403" ] }, - "execution_count": 32, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -2358,7 +2322,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "id": "e3c83ac5", "metadata": {}, "outputs": [ @@ -2393,44 +2357,44 @@ " \n", " 2022-02-17\n", " NaN\n", - " NaN\n", - " 1.130213\n", + " 2.283554\n", + " 0.064844\n", " NaN\n", " \n", " \n", " 2022-02-18\n", " NaN\n", + " 0.266312\n", " NaN\n", - " NaN\n", - " NaN\n", + " 0.248000\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " NaN\n", - " 0.646906\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", " NaN\n", " \n", " \n", " 2022-02-20\n", - " 0.587214\n", " NaN\n", - " 1.788319\n", " NaN\n", - " \n", + " NaN\n", + " NaN\n", + " \n", " \n", " 2022-02-21\n", - " 0.333481\n", + " 1.712010\n", " NaN\n", - " 0.927084\n", + " 1.695294\n", " NaN\n", " \n", " \n", " 2022-02-22\n", - " NaN\n", - " 0.396114\n", - " NaN\n", - " 0.559523\n", + " 0.787221\n", + " 1.815636\n", + " 1.696289\n", + " 2.223403\n", " \n", " \n", "\n", @@ -2438,15 +2402,15 @@ ], "text/plain": [ " A B C D\n", - "2022-02-17 NaN NaN 1.130213 NaN\n", - "2022-02-18 NaN NaN NaN NaN\n", - "2022-02-19 0.269976 NaN 0.646906 NaN\n", - "2022-02-20 0.587214 NaN 1.788319 NaN\n", - "2022-02-21 0.333481 NaN 0.927084 NaN\n", - "2022-02-22 NaN 0.396114 NaN 0.559523" + "2022-02-17 NaN 2.283554 0.064844 NaN\n", + "2022-02-18 NaN 0.266312 NaN 0.248000\n", + "2022-02-19 0.497676 0.271453 1.604661 NaN\n", + "2022-02-20 NaN NaN NaN NaN\n", + "2022-02-21 1.712010 NaN 1.695294 NaN\n", + "2022-02-22 0.787221 1.815636 1.696289 2.223403" ] }, - "execution_count": 33, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -2457,7 +2421,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "id": "d3d760f9", "metadata": {}, "outputs": [], @@ -2467,7 +2431,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "id": "450b3633", "metadata": {}, "outputs": [ @@ -2502,50 +2466,50 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", - " 1.130213\n", - " -1.196732\n", + " -0.201228\n", + " 2.283554\n", + " 0.064844\n", + " -1.918650\n", " one\n", " \n", " \n", " 2022-02-18\n", - " -1.224428\n", - " -0.507282\n", - " -0.177017\n", - " -2.032944\n", + " -1.042732\n", + " 0.266312\n", + " -0.229446\n", + " 0.248000\n", " one\n", " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " two\n", " \n", " \n", " 2022-02-20\n", - " 0.587214\n", - " -0.591995\n", - " 1.788319\n", - " -0.248610\n", + " -0.184723\n", + " -1.515012\n", + " -1.573514\n", + " -0.835740\n", " three\n", " \n", " \n", " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", - " 0.927084\n", - " -1.276234\n", + " 1.712010\n", + " -1.151720\n", + " 1.695294\n", + " -1.116556\n", " four\n", " \n", " \n", " 2022-02-22\n", - " -1.437867\n", - " 0.396114\n", - " -1.892639\n", - " 0.559523\n", + " 0.787221\n", + " 1.815636\n", + " 1.696289\n", + " 2.223403\n", " three\n", " \n", " \n", @@ -2554,15 +2518,15 @@ ], "text/plain": [ " A B C D E\n", - "2022-02-17 -0.100987 -0.445779 1.130213 -1.196732 one\n", - "2022-02-18 -1.224428 -0.507282 -0.177017 -2.032944 one\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876 two\n", - "2022-02-20 0.587214 -0.591995 1.788319 -0.248610 three\n", - "2022-02-21 0.333481 -1.062191 0.927084 -1.276234 four\n", - "2022-02-22 -1.437867 0.396114 -1.892639 0.559523 three" + "2022-02-17 -0.201228 2.283554 0.064844 -1.918650 one\n", + "2022-02-18 -1.042732 0.266312 -0.229446 0.248000 one\n", + "2022-02-19 0.497676 0.271453 1.604661 -0.312612 two\n", + "2022-02-20 -0.184723 -1.515012 -1.573514 -0.835740 three\n", + "2022-02-21 1.712010 -1.151720 1.695294 -1.116556 four\n", + "2022-02-22 0.787221 1.815636 1.696289 2.223403 three" ] }, - "execution_count": 35, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -2574,7 +2538,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "id": "ec8f8cb6", "metadata": {}, "outputs": [ @@ -2590,7 +2554,7 @@ "Freq: D, Name: E, dtype: bool" ] }, - "execution_count": 36, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -2601,7 +2565,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "id": "e6251823", "metadata": {}, "outputs": [ @@ -2636,18 +2600,18 @@ " \n", " \n", " 2022-02-19\n", - " 0.269976\n", - " -0.208413\n", - " 0.646906\n", - " -1.046876\n", + " 0.497676\n", + " 0.271453\n", + " 1.604661\n", + " -0.312612\n", " two\n", " \n", " \n", " 2022-02-21\n", - " 0.333481\n", - " -1.062191\n", - " 0.927084\n", - " -1.276234\n", + " 1.712010\n", + " -1.151720\n", + " 1.695294\n", + " -1.116556\n", " four\n", " \n", " \n", @@ -2656,11 +2620,11 @@ ], "text/plain": [ " A B C D E\n", - "2022-02-19 0.269976 -0.208413 0.646906 -1.046876 two\n", - "2022-02-21 0.333481 -1.062191 0.927084 -1.276234 four" + "2022-02-19 0.497676 0.271453 1.604661 -0.312612 two\n", + "2022-02-21 1.712010 -1.151720 1.695294 -1.116556 four" ] }, - "execution_count": 37, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -2671,7 +2635,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "id": "bc9adb84", "metadata": {}, "outputs": [ @@ -2705,45 +2669,45 @@ " \n", " \n", " 2022-02-17\n", - " -0.100987\n", - " -0.445779\n", - " 1.130213\n", - " -1.196732\n", + " -0.201228\n", + " 2.283554\n", + " 0.064844\n", + " -1.918650\n", " \n", " \n", " 2022-02-18\n", - " -1.325415\n", - " -0.953062\n", - " 0.953196\n", - " -3.229676\n", + " -1.243959\n", + " 2.549866\n", + " -0.164602\n", + " -1.670650\n", " \n", " \n", " 2022-02-19\n", - " -1.055439\n", - " -1.161475\n", - " 1.600102\n", - " -4.276552\n", + " -0.746283\n", + " 2.821319\n", + " 1.440059\n", + " -1.983262\n", " \n", " \n", " 2022-02-20\n", - " -0.468226\n", - " -1.753470\n", - " 3.388421\n", - " -4.525161\n", + " -0.931007\n", + " 1.306306\n", + " -0.133455\n", + " -2.819003\n", " \n", " \n", " 2022-02-21\n", - " -0.134744\n", - " -2.815661\n", - " 4.315505\n", - " -5.801396\n", + " 0.781004\n", + " 0.154586\n", + " 1.561839\n", + " -3.935559\n", " \n", " \n", " 2022-02-22\n", - " -1.572611\n", - " -2.419547\n", - " 2.422867\n", - " -5.241873\n", + " 1.568225\n", + " 1.970222\n", + " 3.258128\n", + " -1.712156\n", " \n", " \n", "\n", @@ -2751,15 +2715,15 @@ ], "text/plain": [ " A B C D\n", - "2022-02-17 -0.100987 -0.445779 1.130213 -1.196732\n", - "2022-02-18 -1.325415 -0.953062 0.953196 -3.229676\n", - "2022-02-19 -1.055439 -1.161475 1.600102 -4.276552\n", - "2022-02-20 -0.468226 -1.753470 3.388421 -4.525161\n", - "2022-02-21 -0.134744 -2.815661 4.315505 -5.801396\n", - "2022-02-22 -1.572611 -2.419547 2.422867 -5.241873" + "2022-02-17 -0.201228 2.283554 0.064844 -1.918650\n", + "2022-02-18 -1.243959 2.549866 -0.164602 -1.670650\n", + "2022-02-19 -0.746283 2.821319 1.440059 -1.983262\n", + "2022-02-20 -0.931007 1.306306 -0.133455 -2.819003\n", + "2022-02-21 0.781004 0.154586 1.561839 -3.935559\n", + "2022-02-22 1.568225 1.970222 3.258128 -1.712156" ] }, - "execution_count": 38, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -2770,21 +2734,21 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "id": "a32f8201", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "A 2.025081\n", - "B 1.458305\n", - "C 3.680958\n", - "D 2.592467\n", + "A 2.754742\n", + "B 3.798566\n", + "C 3.269803\n", + "D 4.142053\n", "dtype: float64" ] }, - "execution_count": 39, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -2795,8 +2759,8 @@ }, { "cell_type": "code", - "execution_count": 130, - "id": "35be0edb", + "execution_count": 41, + "id": "37f1f809", "metadata": {}, "outputs": [ { @@ -2833,29 +2797,31 @@ " 2019년\n", " 2020년\n", " 2021년\n", + " Unnamed: 13\n", " \n", " \n", " \n", " \n", " 0\n", " 계\n", - " 77,032\n", - " 7,667\n", - " 2,200\n", - " 3,491\n", - " 4,439\n", - " 6,582\n", - " 8,129\n", - " 9,947\n", - " 9,876\n", - " 11,961\n", - " 11,132\n", - " 1,608\n", + " 77032\n", + " 7667\n", + " 2200\n", + " 3491\n", + " 4439\n", + " 6582\n", + " 8129\n", + " 9947\n", + " 9876\n", + " 11961\n", + " 11132\n", + " 1608\n", + " NaN\n", " \n", " \n", " 1\n", " 종로구\n", - " 1,772\n", + " 1772\n", " 813\n", " 0\n", " 0\n", @@ -2867,11 +2833,12 @@ " 9\n", " 200\n", " 43\n", + " NaN\n", " \n", " \n", " 2\n", " 중 구\n", - " 2,333\n", + " 2333\n", " 16\n", " 114\n", " 87\n", @@ -2883,11 +2850,12 @@ " 155\n", " 361\n", " 289\n", + " NaN\n", " \n", " \n", " 3\n", " 용산구\n", - " 2,383\n", + " 2383\n", " 34\n", " 71\n", " 234\n", @@ -2899,11 +2867,12 @@ " 307\n", " 617\n", " 0\n", + " NaN\n", " \n", " \n", " 4\n", " 성동구\n", - " 3,602\n", + " 3602\n", " 448\n", " 125\n", " 212\n", @@ -2915,28 +2884,29 @@ " 262\n", " 461\n", " 76\n", + " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", - "0 계 77,032 7,667 2,200 3,491 4,439 6,582 8,129 9,947 9,876 \n", - "1 종로구 1,772 813 0 0 210 150 1 261 85 \n", - "2 중 구 2,333 16 114 87 77 236 240 372 386 \n", - "3 용산구 2,383 34 71 234 125 221 298 351 125 \n", - "4 성동구 3,602 448 125 212 105 339 310 874 390 \n", - "\n", - " 2019년 2020년 2021년 \n", - "0 11,961 11,132 1,608 \n", - "1 9 200 43 \n", - "2 155 361 289 \n", - "3 307 617 0 \n", - "4 262 461 76 " + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 계 77032 7667 2200 3491 4439 6582 8129 9947 9876 \n", + "1 종로구 1772 813 0 0 210 150 1 261 85 \n", + "2 중 구 2333 16 114 87 77 236 240 372 386 \n", + "3 용산구 2383 34 71 234 125 221 298 351 125 \n", + "4 성동구 3602 448 125 212 105 339 310 874 390 \n", + "\n", + " 2019년 2020년 2021년 Unnamed: 13 \n", + "0 11961 11132 1608 NaN \n", + "1 9 200 43 NaN \n", + "2 155 361 289 NaN \n", + "3 307 617 0 NaN \n", + "4 262 461 76 NaN " ] }, - "execution_count": 130, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -2947,8 +2917,8 @@ }, { "cell_type": "code", - "execution_count": 129, - "id": "3da78267", + "execution_count": 47, + "id": "7a515994", "metadata": {}, "outputs": [ { @@ -2989,157 +2959,302 @@ " \n", " \n", " \n", - " 10\n", - " 도봉구\n", - " 1,629\n", - " 39\n", - " 22\n", - " 96\n", - " 181\n", - " 79\n", - " 159\n", - " 134\n", - " 222\n", - " 198\n", - " 168\n", - " 331\n", + " 0\n", + " 계\n", + " 77032\n", + " 7667\n", + " 2200\n", + " 3491\n", + " 4439\n", + " 6582\n", + " 8129\n", + " 9947\n", + " 9876\n", + " 11961\n", + " 11132\n", + " 1608\n", " \n", " \n", - " 1\n", - " 종로구\n", - " 1,772\n", - " 813\n", - " 0\n", - " 0\n", - " 210\n", - " 150\n", + " 23\n", + " 강남구\n", + " 6502\n", + " 124\n", + " 77\n", + " 75\n", + " 597\n", + " 840\n", + " 1310\n", + " 999\n", + " 748\n", + " 789\n", + " 942\n", " 1\n", - " 261\n", - " 85\n", - " 9\n", - " 200\n", - " 43\n", " \n", " \n", - " 20\n", - " 동작구\n", - " 2,297\n", - " 41\n", - " 24\n", - " 25\n", - " 503\n", - " 128\n", - " 253\n", - " 271\n", - " 300\n", - " 322\n", - " 419\n", - " 11\n", + " 21\n", + " 관악구\n", + " 4942\n", + " 428\n", + " 205\n", + " 291\n", + " 513\n", + " 529\n", + " 621\n", + " 687\n", + " 663\n", + " 640\n", + " 331\n", + " 34\n", " \n", " \n", - " 2\n", - " 중 구\n", - " 2,333\n", - " 16\n", - " 114\n", - " 87\n", - " 77\n", - " 236\n", - " 240\n", - " 372\n", - " 386\n", - " 155\n", - " 361\n", - " 289\n", + " 17\n", + " 구로구\n", + " 4075\n", + " 852\n", + " 216\n", + " 349\n", + " 187\n", + " 268\n", + " 326\n", + " 540\n", + " 488\n", + " 434\n", + " 415\n", + " 0\n", " \n", " \n", - " 18\n", - " 금천구\n", - " 2,374\n", - " 0\n", - " 0\n", - " 178\n", - " 80\n", - " 361\n", - " 133\n", - " 196\n", - " 540\n", - " 369\n", - " 508\n", - " 9\n", + " 8\n", + " 성북구\n", + " 3958\n", + " 83\n", + " 78\n", + " 170\n", + " 230\n", + " 323\n", + " 594\n", + " 460\n", + " 867\n", + " 714\n", + " 251\n", + " 188\n", " \n", " \n", "\n", "" ], "text/plain": [ - " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 2019년 2020년 \\\n", - "10 도봉구 1,629 39 22 96 181 79 159 134 222 198 168 \n", - "1 종로구 1,772 813 0 0 210 150 1 261 85 9 200 \n", - "20 동작구 2,297 41 24 25 503 128 253 271 300 322 419 \n", - "2 중 구 2,333 16 114 87 77 236 240 372 386 155 361 \n", - "18 금천구 2,374 0 0 178 80 361 133 196 540 369 508 \n", - "\n", - " 2021년 \n", - "10 331 \n", - "1 43 \n", - "20 11 \n", - "2 289 \n", - "18 9 " + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 계 77032 7667 2200 3491 4439 6582 8129 9947 9876 \n", + "23 강남구 6502 124 77 75 597 840 1310 999 748 \n", + "21 관악구 4942 428 205 291 513 529 621 687 663 \n", + "17 구로구 4075 852 216 349 187 268 326 540 488 \n", + "8 성북구 3958 83 78 170 230 323 594 460 867 \n", + "\n", + " 2019년 2020년 2021년 \n", + "0 11961 11132 1608 \n", + "23 789 942 1 \n", + "21 640 331 34 \n", + "17 434 415 0 \n", + "8 714 251 188 " + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "CCTV_Seoul.sort_values(by='총계', ascending=False).head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "5944bf01", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "numpy.int64" ] }, - "execution_count": 129, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "CCTV_Seoul.sort_values(by='총계', ascending=True).head(5)" + "type(CCTV_Seoul['2021년'][3])\n", + "# 자꾸 str이 떠서 원본 엑셀파일을 수정함" ] }, { "cell_type": "code", - "execution_count": 132, - "id": "a959e435", + "execution_count": 48, + "id": "ccf7629e", "metadata": { "scrolled": true }, "outputs": [ { - "ename": "TypeError", - "evalue": "unsupported operand type(s) for /: 'str' and 'str'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:163\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 162\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 163\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 164\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:239\u001b[0m, in \u001b[0;36mevaluate\u001b[1;34m(op, a, b, use_numexpr)\u001b[0m\n\u001b[0;32m 237\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m use_numexpr:\n\u001b[0;32m 238\u001b[0m \u001b[38;5;66;03m# error: \"None\" not callable\u001b[39;00m\n\u001b[1;32m--> 239\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_evaluate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop_str\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m 240\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _evaluate_standard(op, op_str, a, b)\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:69\u001b[0m, in \u001b[0;36m_evaluate_standard\u001b[1;34m(op, op_str, a, b)\u001b[0m\n\u001b[0;32m 68\u001b[0m _store_test_result(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m---> 69\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mop\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for /: 'str' and 'str'", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "Input \u001b[1;32mIn [132]\u001b[0m, in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[0m CCTV_Seoul[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m최근증가율\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43m(\u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2021년\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2020년\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2019년\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m2018년\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m100\u001b[39m\n\u001b[0;32m 2\u001b[0m CCTV_Seoul\u001b[38;5;241m.\u001b[39msort_values(by\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m최근증가율\u001b[39m\u001b[38;5;124m'\u001b[39m, ascending\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\u001b[38;5;241m.\u001b[39mhead(\u001b[38;5;241m5\u001b[39m)\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\common.py:70\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer..new_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 66\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m\n\u001b[0;32m 68\u001b[0m other \u001b[38;5;241m=\u001b[39m item_from_zerodim(other)\n\u001b[1;32m---> 70\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\arraylike.py:124\u001b[0m, in \u001b[0;36mOpsMixin.__truediv__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 122\u001b[0m \u001b[38;5;129m@unpack_zerodim_and_defer\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__truediv__\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 123\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__truediv__\u001b[39m(\u001b[38;5;28mself\u001b[39m, other):\n\u001b[1;32m--> 124\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moperator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtruediv\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\series.py:5639\u001b[0m, in \u001b[0;36mSeries._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 5637\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_arith_method\u001b[39m(\u001b[38;5;28mself\u001b[39m, other, op):\n\u001b[0;32m 5638\u001b[0m \u001b[38;5;28mself\u001b[39m, other \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39malign_method_SERIES(\u001b[38;5;28mself\u001b[39m, other)\n\u001b[1;32m-> 5639\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mIndexOpsMixin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\base.py:1295\u001b[0m, in \u001b[0;36mIndexOpsMixin._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 1292\u001b[0m rvalues \u001b[38;5;241m=\u001b[39m ensure_wrapped_if_datetimelike(rvalues)\n\u001b[0;32m 1294\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(\u001b[38;5;28mall\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m-> 1295\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mops\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marithmetic_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1297\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_construct_result(result, name\u001b[38;5;241m=\u001b[39mres_name)\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:222\u001b[0m, in \u001b[0;36marithmetic_op\u001b[1;34m(left, right, op)\u001b[0m\n\u001b[0;32m 217\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 218\u001b[0m \u001b[38;5;66;03m# TODO we should handle EAs consistently and move this check before the if/else\u001b[39;00m\n\u001b[0;32m 219\u001b[0m \u001b[38;5;66;03m# (https://github.com/pandas-dev/pandas/issues/41165)\u001b[39;00m\n\u001b[0;32m 220\u001b[0m _bool_arith_check(op, left, right)\n\u001b[1;32m--> 222\u001b[0m res_values \u001b[38;5;241m=\u001b[39m \u001b[43m_na_arithmetic_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 224\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res_values\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:170\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 164\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m 165\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_cmp \u001b[38;5;129;01mand\u001b[39;00m (is_object_dtype(left\u001b[38;5;241m.\u001b[39mdtype) \u001b[38;5;129;01mor\u001b[39;00m is_object_dtype(right)):\n\u001b[0;32m 166\u001b[0m \u001b[38;5;66;03m# For object dtype, fallback to a masked operation (only operating\u001b[39;00m\n\u001b[0;32m 167\u001b[0m \u001b[38;5;66;03m# on the non-missing values)\u001b[39;00m\n\u001b[0;32m 168\u001b[0m \u001b[38;5;66;03m# Don't do this for comparisons, as that will handle complex numbers\u001b[39;00m\n\u001b[0;32m 169\u001b[0m \u001b[38;5;66;03m# incorrectly, see GH#32047\u001b[39;00m\n\u001b[1;32m--> 170\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43m_masked_arith_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 171\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 172\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py:108\u001b[0m, in \u001b[0;36m_masked_arith_op\u001b[1;34m(x, y, op)\u001b[0m\n\u001b[0;32m 106\u001b[0m \u001b[38;5;66;03m# See GH#5284, GH#5035, GH#19448 for historical reference\u001b[39;00m\n\u001b[0;32m 107\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mask\u001b[38;5;241m.\u001b[39many():\n\u001b[1;32m--> 108\u001b[0m result[mask] \u001b[38;5;241m=\u001b[39m \u001b[43mop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mxrav\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43myrav\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 110\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_scalar(y):\n", - "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for /: 'str' and 'str'" - 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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년최근증가율
9강북구24620024651052436392100058839194.850299
7중랑구3296302242538814116116217310499394152.760736
24송파구285472618685215148241542106823510196.827586
10도봉구16293922961817915913422219816833174.785408
12은평구379114344332329555403635105728813163.758099
\n", + "
" + ], + "text/plain": [ + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "9 강북구 2462 0 0 24 65 105 243 6 392 \n", + "7 중랑구 3296 302 24 253 88 141 161 162 173 \n", + "24 송파구 2854 72 61 86 85 215 148 241 542 \n", + "10 도봉구 1629 39 22 96 181 79 159 134 222 \n", + "12 은평구 3791 14 3 44 332 329 555 403 635 \n", + "\n", + " 2019년 2020년 2021년 최근증가율 \n", + "9 1000 588 39 194.850299 \n", + "7 1049 939 4 152.760736 \n", + "24 1068 235 101 96.827586 \n", + "10 198 168 331 74.785408 \n", + "12 1057 288 131 63.758099 " + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "CCTV_Seoul['최근증가율'] = (CCTV_Seoul['2021년'] + CCTV_Seoul['2020년'] + CCTV_Seoul['2019년']) / CCTV_Seoul['2018년'] * 100\n", + "CCTV_Seoul['최근증가율'] = (CCTV_Seoul['2021년'] + CCTV_Seoul['2020년'] + CCTV_Seoul['2019년']) / (CCTV_Seoul['2018년'] + CCTV_Seoul['2017년'] + CCTV_Seoul['2016년'] + CCTV_Seoul['2015년'] + CCTV_Seoul['2014년'] + CCTV_Seoul['2013년'] + CCTV_Seoul['2012년'] + CCTV_Seoul['2012년 이전']) * 100\n", "CCTV_Seoul.sort_values(by='최근증가율', ascending=False).head(5)\n", - "# typeError....." + "# 2019~21년을 더하고 그 이전으로 나눔" ] }, { "cell_type": "code", - "execution_count": 47, - "id": "412664e5", + "execution_count": 49, + "id": "fd2fd72a", "metadata": {}, "outputs": [ { @@ -3224,7 +3339,7 @@ "4 성동구 292672 285990 6682 46380" ] }, - "execution_count": 47, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -3235,9 +3350,11 @@ }, { "cell_type": "code", - "execution_count": 48, - "id": "8617ac94", - "metadata": {}, + "execution_count": 50, + "id": "86c18153", + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -3321,7 +3438,7 @@ "5 광진구 352627 339996 12631 51723" ] }, - "execution_count": 48, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -3333,8 +3450,8 @@ }, { "cell_type": "code", - "execution_count": 49, - "id": "98e13856", + "execution_count": 51, + "id": "7ab7a4d4", "metadata": {}, "outputs": [ { @@ -3345,7 +3462,7 @@ " '영등포구', '동작구', '관악구', '서초구', '강남구', '송파구', '강동구'], dtype=object)" ] }, - "execution_count": 49, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -3356,8 +3473,8 @@ }, { "cell_type": "code", - "execution_count": 50, - "id": "84129bd1", + "execution_count": 52, + "id": "0724b0ed", "metadata": {}, "outputs": [ { @@ -3399,7 +3516,7 @@ "Index: []" ] }, - "execution_count": 50, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -3410,8 +3527,30 @@ }, { "cell_type": "code", - "execution_count": 52, - "id": "64843b15", + "execution_count": 53, + "id": "5db17c2d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "numpy.int64" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(pop_Seoul['한국인'][3])\n", + "# 얘는 int네.." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "3af0b9db", "metadata": {}, "outputs": [ { @@ -3508,7 +3647,7 @@ "5 광진구 352627 339996 12631 51723 3.581972 14.667907" ] }, - "execution_count": 52, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -3521,8 +3660,8 @@ }, { "cell_type": "code", - "execution_count": 53, - "id": "fca654b7", + "execution_count": 55, + "id": "3a9f6e94", "metadata": {}, "outputs": [ { @@ -3619,7 +3758,7 @@ "21 관악구 499449 485699 13750 79871 2.753034 15.991823" ] }, - "execution_count": 53, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -3630,8 +3769,8 @@ }, { "cell_type": "code", - "execution_count": 54, - "id": "e073608b", + "execution_count": 56, + "id": "4227165d", "metadata": {}, "outputs": [ { @@ -3728,7 +3867,7 @@ "18 금천구 244891 230811 14080 41041 5.749497 16.758885" ] }, - "execution_count": 54, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -3739,8 +3878,8 @@ }, { "cell_type": "code", - "execution_count": 55, - "id": "e8c9761a", + "execution_count": 57, + "id": "7171a7b1", "metadata": {}, "outputs": [ { @@ -3837,7 +3976,7 @@ "17 구로구 421163 396754 24409 72611 5.795618 17.240593" ] }, - "execution_count": 55, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -3848,8 +3987,8 @@ }, { "cell_type": "code", - "execution_count": 56, - "id": "5f570226", + "execution_count": 58, + "id": "f908ec81", "metadata": {}, "outputs": [ { @@ -3946,7 +4085,7 @@ "21 관악구 499449 485699 13750 79871 2.753034 15.991823" ] }, - "execution_count": 56, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -3957,8 +4096,8 @@ }, { "cell_type": "code", - "execution_count": 57, - "id": "658a7874", + "execution_count": 59, + "id": "1604e8dd", "metadata": {}, "outputs": [ { @@ -4055,7 +4194,7 @@ "12 은평구 477173 473307 3866 87241 0.810188 18.282887" ] }, - "execution_count": 57, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } @@ -4066,8 +4205,8 @@ }, { "cell_type": "code", - "execution_count": 58, - "id": "998b95ee", + "execution_count": 61, + "id": "50a3f101", "metadata": {}, "outputs": [], "source": [ @@ -4092,8 +4231,8 @@ }, { "cell_type": "code", - "execution_count": 59, - "id": "c170632a", + "execution_count": 62, + "id": "e725898c", "metadata": {}, "outputs": [ { @@ -4164,7 +4303,7 @@ "3 A3 B3 C3 D3" ] }, - "execution_count": 59, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -4175,8 +4314,8 @@ }, { "cell_type": "code", - "execution_count": 60, - "id": "f5621bc4", + "execution_count": 63, + "id": "e020a160", "metadata": {}, "outputs": [ { @@ -4247,7 +4386,7 @@ "7 A7 B7 C7 D7" ] }, - "execution_count": 60, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -4258,8 +4397,8 @@ }, { "cell_type": "code", - "execution_count": 61, - "id": "d8783ba0", + "execution_count": 64, + "id": "1d36bc37", "metadata": {}, "outputs": [ { @@ -4330,7 +4469,7 @@ "11 A11 B11 C11 D11" ] }, - "execution_count": 61, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -4341,8 +4480,8 @@ }, { "cell_type": "code", - "execution_count": 62, - "id": "90326e70", + "execution_count": 65, + "id": "99bff94a", "metadata": {}, "outputs": [ { @@ -4477,7 +4616,7 @@ "11 A11 B11 C11 D11" ] }, - "execution_count": 62, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -4489,8 +4628,8 @@ }, { "cell_type": "code", - "execution_count": 63, - "id": "b1578c5f", + "execution_count": 66, + "id": "97d2e077", "metadata": {}, "outputs": [ { @@ -4629,7 +4768,7 @@ " 11 A11 B11 C11 D11" ] }, - "execution_count": 63, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -4641,8 +4780,8 @@ }, { "cell_type": "code", - "execution_count": 64, - "id": "91b4ae31", + "execution_count": 67, + "id": "25d3ec29", "metadata": {}, "outputs": [ { @@ -4663,19 +4802,20 @@ " )" ] }, - "execution_count": 64, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "result.index" + "result.index\n", + "# 책이랑 다르다?" ] }, { "cell_type": "code", - "execution_count": 65, - "id": "6d54415a", + "execution_count": 68, + "id": "34d1308a", "metadata": {}, "outputs": [ { @@ -4684,19 +4824,19 @@ "Index(['x', 'x', 'x', 'x', 'y', 'y', 'y', 'y', 'z', 'z', 'z', 'z'], dtype='object')" ] }, - "execution_count": 65, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "result.index.get_level_values(0) # 책이랑 다르다...?" + "result.index.get_level_values(0)" ] }, { "cell_type": "code", - "execution_count": 66, - "id": "3a39076e", + "execution_count": 69, + "id": "4ce81bd2", "metadata": {}, "outputs": [ { @@ -4705,7 +4845,7 @@ "Int64Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], dtype='int64')" ] }, - "execution_count": 66, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -4716,8 +4856,8 @@ }, { "cell_type": "code", - "execution_count": 67, - "id": "dc081c17", + "execution_count": 70, + "id": "99fe17bc", "metadata": {}, "outputs": [ { @@ -4856,7 +4996,7 @@ " 11 A11 B11 C11 D11" ] }, - "execution_count": 67, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -4867,8 +5007,8 @@ }, { "cell_type": "code", - "execution_count": 68, - "id": "2ccaa2ac", + "execution_count": 71, + "id": "7ae736b8", "metadata": {}, "outputs": [], "source": [ @@ -4882,8 +5022,8 @@ }, { "cell_type": "code", - "execution_count": 69, - "id": "a290c678", + "execution_count": 72, + "id": "e8937097", "metadata": {}, "outputs": [ { @@ -4954,7 +5094,7 @@ "3 A3 B3 C3 D3" ] }, - "execution_count": 69, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -4965,8 +5105,8 @@ }, { "cell_type": "code", - "execution_count": 70, - "id": "94054e1c", + "execution_count": 73, + "id": "b1482d1d", "metadata": {}, "outputs": [ { @@ -5032,7 +5172,7 @@ "7 B7 D7 F7" ] }, - "execution_count": 70, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -5043,8 +5183,8 @@ }, { "cell_type": "code", - "execution_count": 71, - "id": "b45b1cfe", + "execution_count": 74, + "id": "d01058b8", "metadata": {}, "outputs": [ { @@ -5152,7 +5292,7 @@ "7 NaN NaN NaN NaN B7 D7 F7" ] }, - "execution_count": 71, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -5163,8 +5303,8 @@ }, { "cell_type": "code", - "execution_count": 72, - "id": "25c40bae", + "execution_count": 75, + "id": "04a61b8f", "metadata": {}, "outputs": [ { @@ -5228,7 +5368,7 @@ "3 A3 B3 C3 D3 B3 D3 F3" ] }, - "execution_count": 72, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -5240,32 +5380,108 @@ }, { "cell_type": "code", - "execution_count": 73, - "id": "1a750fef", + "execution_count": 76, + "id": "b218f06f", "metadata": {}, "outputs": [ { - "ename": "TypeError", - "evalue": "concat() got an unexpected keyword argument 'join_axes'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "Input \u001b[1;32mIn [73]\u001b[0m, in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconcat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43mdf1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdf4\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjoin_axes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mdf1\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2\u001b[0m result\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\util\\_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[0;32m 306\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 307\u001b[0m msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39marguments),\n\u001b[0;32m 308\u001b[0m \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[0;32m 309\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[0;32m 310\u001b[0m )\n\u001b[1;32m--> 311\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", - "\u001b[1;31mTypeError\u001b[0m: concat() got an unexpected keyword argument 'join_axes'" - ] + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " A B C D B D F\n", + "0 A0 B0 C0 D0 NaN NaN NaN\n", + "1 A1 B1 C1 D1 NaN NaN NaN\n", + "2 A2 B2 C2 D2 B2 D2 F2\n", + "3 A3 B3 C3 D3 B3 D3 F3" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "result = pd.concat([df1, df4], axis=1, join_axes=[df1.index])\n", - "result # 왜 막히지, 업데이트때문인가" + "# result = pd.concat([df1, df4], axis=1, join_axes=[df1.index]) 이대로면 막혀서\n", + "result = pd.concat([df1, df4], axis=1).reindex(df1.index) # 로 수정\n", + "result " ] }, { "cell_type": "code", - "execution_count": 74, - "id": "db7e66c0", + "execution_count": 77, + "id": "c093481d", "metadata": {}, "outputs": [ { @@ -5377,7 +5593,7 @@ "7 NaN B7 NaN D7 F7" ] }, - "execution_count": 74, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -5389,8 +5605,8 @@ }, { "cell_type": "code", - "execution_count": 75, - "id": "273b8e4d", + "execution_count": 78, + "id": "541a7169", "metadata": {}, "outputs": [], "source": [ @@ -5405,8 +5621,8 @@ }, { "cell_type": "code", - "execution_count": 76, - "id": "c0d8ff7a", + "execution_count": 79, + "id": "9c1da670", "metadata": {}, "outputs": [ { @@ -5472,19 +5688,19 @@ "3 K3 A3 B3" ] }, - "execution_count": 76, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "left" + "left # key의 위치가 다르네" ] }, { "cell_type": "code", - "execution_count": 77, - "id": "693fe629", + "execution_count": 80, + "id": "9ec093a9", "metadata": {}, "outputs": [ { @@ -5550,7 +5766,7 @@ "3 K3 C3 D3" ] }, - "execution_count": 77, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -5561,8 +5777,8 @@ }, { "cell_type": "code", - "execution_count": 78, - "id": "b01746c8", + "execution_count": 81, + "id": "332630a1", "metadata": {}, "outputs": [ { @@ -5629,7 +5845,7 @@ "2 K3 A3 B3 C3 D3" ] }, - "execution_count": 78, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } @@ -5640,8 +5856,8 @@ }, { "cell_type": "code", - "execution_count": 79, - "id": "efe08b7f", + "execution_count": 82, + "id": "de6947ff", "metadata": {}, "outputs": [ { @@ -5717,7 +5933,7 @@ "3 K3 A3 B3 C3 D3" ] }, - "execution_count": 79, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -5728,8 +5944,8 @@ }, { "cell_type": "code", - "execution_count": 80, - "id": "85fbd765", + "execution_count": 83, + "id": "3d39c4ae", "metadata": {}, "outputs": [ { @@ -5805,7 +6021,7 @@ "3 K3 A3 B3 C3 D3" ] }, - "execution_count": 80, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" } @@ -5816,8 +6032,8 @@ }, { "cell_type": "code", - "execution_count": 81, - "id": "2203069b", + "execution_count": 84, + "id": "cb20d8c8", "metadata": {}, "outputs": [ { @@ -5902,19 +6118,19 @@ "4 K1 NaN NaN C1 D1" ] }, - "execution_count": 81, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pd.merge(left, right, how='outer', on='key')" + "pd.merge(left, right, how='outer', on='key') # 합집합" ] }, { "cell_type": "code", - "execution_count": 82, - "id": "b6e4a1ba", + "execution_count": 85, + "id": "ab75b854", "metadata": {}, "outputs": [ { @@ -5981,136 +6197,1144 @@ "2 K3 A3 B3 C3 D3" ] }, - "execution_count": 82, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pd.merge(left, right, how='inner', on='key')" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "id": "6aa5976c", - "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'구별'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "Input \u001b[1;32mIn [112]\u001b[0m, in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[0m data_result \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmerge\u001b[49m\u001b[43m(\u001b[49m\u001b[43mCCTV_Seoul\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpop_Seoul\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mon\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m구별\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2\u001b[0m data_result\u001b[38;5;241m.\u001b[39mhead()\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:107\u001b[0m, in \u001b[0;36mmerge\u001b[1;34m(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)\u001b[0m\n\u001b[0;32m 90\u001b[0m \u001b[38;5;129m@Substitution\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mleft : DataFrame or named Series\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 91\u001b[0m \u001b[38;5;129m@Appender\u001b[39m(_merge_doc, indents\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m 92\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmerge\u001b[39m(\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 105\u001b[0m validate: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m 106\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m DataFrame:\n\u001b[1;32m--> 107\u001b[0m op \u001b[38;5;241m=\u001b[39m \u001b[43m_MergeOperation\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 108\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 109\u001b[0m \u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 110\u001b[0m \u001b[43m \u001b[49m\u001b[43mhow\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 111\u001b[0m \u001b[43m \u001b[49m\u001b[43mon\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mon\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 112\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft_on\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mleft_on\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 113\u001b[0m \u001b[43m \u001b[49m\u001b[43mright_on\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mright_on\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 114\u001b[0m \u001b[43m \u001b[49m\u001b[43mleft_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mleft_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 115\u001b[0m \u001b[43m \u001b[49m\u001b[43mright_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mright_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 116\u001b[0m \u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 117\u001b[0m \u001b[43m \u001b[49m\u001b[43msuffixes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msuffixes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 118\u001b[0m \u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 119\u001b[0m \u001b[43m \u001b[49m\u001b[43mindicator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindicator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 120\u001b[0m \u001b[43m \u001b[49m\u001b[43mvalidate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalidate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 121\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 122\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m op\u001b[38;5;241m.\u001b[39mget_result()\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:700\u001b[0m, in \u001b[0;36m_MergeOperation.__init__\u001b[1;34m(self, left, right, how, on, left_on, right_on, axis, left_index, right_index, sort, suffixes, copy, indicator, validate)\u001b[0m\n\u001b[0;32m 693\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cross \u001b[38;5;241m=\u001b[39m cross_col\n\u001b[0;32m 695\u001b[0m \u001b[38;5;66;03m# note this function has side effects\u001b[39;00m\n\u001b[0;32m 696\u001b[0m (\n\u001b[0;32m 697\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mleft_join_keys,\n\u001b[0;32m 698\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mright_join_keys,\n\u001b[0;32m 699\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mjoin_names,\n\u001b[1;32m--> 700\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_merge_keys\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 702\u001b[0m \u001b[38;5;66;03m# validate the merge keys dtypes. We may need to coerce\u001b[39;00m\n\u001b[0;32m 703\u001b[0m \u001b[38;5;66;03m# to avoid incompatible dtypes\u001b[39;00m\n\u001b[0;32m 704\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_maybe_coerce_merge_keys()\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:1110\u001b[0m, in \u001b[0;36m_MergeOperation._get_merge_keys\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1108\u001b[0m right_keys\u001b[38;5;241m.\u001b[39mappend(rk)\n\u001b[0;32m 1109\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m lk \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1110\u001b[0m left_keys\u001b[38;5;241m.\u001b[39mappend(\u001b[43mleft\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_label_or_level_values\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlk\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m 1111\u001b[0m join_names\u001b[38;5;241m.\u001b[39mappend(lk)\n\u001b[0;32m 1112\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 1113\u001b[0m \u001b[38;5;66;03m# work-around for merge_asof(left_index=True)\u001b[39;00m\n", - "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\pandas\\core\\generic.py:1848\u001b[0m, in \u001b[0;36mNDFrame._get_label_or_level_values\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m 1846\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes[axis]\u001b[38;5;241m.\u001b[39mget_level_values(key)\u001b[38;5;241m.\u001b[39m_values\n\u001b[0;32m 1847\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1848\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key)\n\u001b[0;32m 1850\u001b[0m \u001b[38;5;66;03m# Check for duplicates\u001b[39;00m\n\u001b[0;32m 1851\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m values\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n", - "\u001b[1;31mKeyError\u001b[0m: '구별'" - ] - } - ], - "source": [ - "data_result = pd.merge(CCTV_Seoul, pop_Seoul, on='구별')\n", - "data_result.head() # 새 원본 데이터를 깔아야... 근데 최신데이터로 보고싶은걸" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5d0b6a74", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "55ae33be", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ed421891", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 83, - "id": "c73a756b", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "id": "eaeb4bca", - "metadata": {}, - "outputs": [ - { - "data": { - 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teT17uNb6aq21HP62gN0HqpmzOJteXYJ4btIIvGXpu2V5eSmeui6RQV1DuXlJNttKD5lOEobJCksPVV3XQFpGFnUNTaSn2ggP9DWdJE5RsL8P6ak2vL0UMzPsVNXUm04SBsnw9kBaa+56Yw35+yp5fvII+keFmE4S7aRn5yDmTU1mW+khbluWS2OTHMDsqGR4e6D5X2/lg7WF3HNZHBfERZvOEe3srP6RzB07hC82FPP0ZxtN5whD5DRyHubzvCKe+nQjVyfFMuvcfqZzhJNMP6M3+YWVzPtqK3HdwhibGGs6SbiY7Hl7kM1FVdy2PJeE2HD+fu1wWfruwZRSPHRlArbenbhrxWrW7akwnSRcTIa3hyivruP6DPt/nRdaeDY/Hy9empZC5yA/0jLslB6sNZ0kXEiGtwdoaGzi5qU5FJbXsGB6MjHhgaaThItEhfqzMNVGWXUdNyxqfneR6BhkeHuAv320ge82l/LI1Qmk9O5sOke4WEL3cJ4cn8jP2w8w9931soS+g5ADlha3Ims3//x+G/9zVh8mnNbTdI4wZGxiLPmFlcz/eitDYsOYfkZv00nCyWTP28Jydh7g/pVrOat/Fx64It50jjDsj5cM5sK4aB56dz2rCvabzhFOJsPboooqa5iVmUW3sADmTUnG11v+Kjs6by/Fs5OS6N0liDmLs9lVVm06STiR/Iu3oJr6RtIyszhU20B6qo1OwX6mk4SbCAvw5ZUZp9HQ2MTMDDvVdQ2mk4STyPC2GK01969cy+pd5Tw9MYnB3UJNJwk30zcymBemJLOpqIo731gtBzA9lAxvi/nn99t4K3sPt48axKVDu5nOEW7qvEFR3Hd5PB+u3ceLX24xnSOcQN5tYiHfbirhsQ/zuTyhGzdfOMB0jnBz1/+uL/mFlfzjs00M7hbKJfKfvUeRPW+L2FZ6iJuWZDOoayhPXZeIl5ybW5yAUorHrhlGYo9wbl+ey8Z9VaaTRDuS4W0BVTX1zMyw4+2lSE+1EewvT5iEYwJ8vVkwvfkxMzPDTnl1nekk0U5keLu5pibN7ctz2V56iPlTU+jZOch0krCYbuEBvDw9hX0VNdy0JIeGRllC7wlkeLu5f3y2kc/zi5k7dghn9u9iOkdYVHKvTjx2zTC+31LKox/mm84R7UCef7ux91bvZd5XW5k8sifTZLmzOEXjU3qQt7eSV3/YRnxMGBNscjoFK5M9bze1bk8Fd61YzWl9OvHQlQlybm7RLu4fHcfvBkby4Mp1ZO2Q64hbmQxvN1R6sJa0DDudg/yYPzUFPx/5axLtw8fbixcmjyAmIoDZi7LYV1FjOkmcJJkKbqauoYkbFmVRVl3HwlQbUaH+ppOEh4kI8iM91UZ1bQNpmXZq6htNJ4mTIMPbzfzlvfX8vP0AT45PJKF7uOkc4aEGdQ3l2UkjWLungvveWitL6C1IhrcbyVy1gyU/7WTO+f3lgrLC6S4e0pU/XjyIlTl7SP+uwHSOaCMZ3m5iVcF+Hnp3PRfGRfPHSwabzhEdxI0XDOCKYTH8/aMNfL2x2HSOaAMZ3m5gV1k1cxZn07tLEM9OSsJblr4LF1FK8eR1w4nrFsbNS3MoKDloOkk4SIa3YdV1DczMsNPQ2MQrM04jLMDXdJLoYIL8fFiYmoKvtxfXZ9iprKk3nSQcIMPbIK01d76xmk1FVbwwJZm+kcGmk0QH1aNTEC9NTWbn/mpuXZpDY5McwHR3MrwNeuHLLXy4dh/3XR7PeYOiTOeIDu70fl34y5VD+WpjCU9+stF0jjgBWR5vyKfr9/H0Z5u4ZkR3rv9dX9M5QgAw7Yze5BdW8vI3W4mPCeWqpO6mk0QrZM/bgI37qrh9eS6JPcJ57JphsvRduJW5Y4cysk9n7l6xhrW7K0zniFbI8HaxA4fqmJlhJ9jfhwXTbQT4eptOEuK/+Pl4MX9aMpEh/qRl2imukiX07kiGtws1NDZx09Js9lXU8PL0FLqFB5hOEuKYIkP8WZiawoHqOm5YlE1tgyyhdzcyvF3o0Q/z+WHLfh4dl0Byr06mc4Q4rqGx4Tx1XSJZOw4w9531soTezTg8vJVS3kqpHKXU+84M8lSv23fxfz9s5w9n9+U6OY+ysIgxw2O56YIBLPt5Fxn/3mE6RxyhLXvetwJyCY6TkLXjAA+uXMc5AyK5f3Sc6Rwh2uSOiwcxKj6ah9/P48etpaZzRAuHhrdSqgdwBfCKc3M8z76KGmYvyiImIoAXp4zAx1teqRLW4uWleGZiEv0ig7lxcTa7yqpNJwkc3/N+FrgbaPXKpUqpNKWUXSllLykpaY82y6upbyQt0051bQPpqTYigvxMJwlxUkIDfElPtdHYpJmZYedQbYPppA7vhMNbKTUGKNZaZx1vO631Qq21TWtti4qS1YJaa+57ay1rdlfwzMQkBnUNNZ0kxCnpExnMi1OS2VRUxR2v59IkS+iNcmTP+2zgSqXUdmAZcKFSapFTqzxA+ncFrMzZwx8vHsQlQ7uZzhGiXZw7KIr7R8fzyfoinv9ys+mcDu2Ew1trfZ/WuofWug8wCfhSaz3N6WUW9vXGYv7+0QauGBbDTRcOMJ0jRLv633P6cm1yD579fDMfrys0ndNhydGzdra15CA3L81hcLcwnrxuuCx9Fx5HKcWj4xJI6hnBHa+vZsO+StNJHVKbhrfW+mut9RhnxVhdZU09MzPs+Hp7kZ6aQpCfnPdLeKYAX28WTE8hxN+H61+zU3aoznRShyN73u2ksUlz69Icdu6vZv7UZHp0CjKdJIRTdQ0LYGGqjeKqWm5cnE19Y6tvRhNOIMO7nTz5yUa+2ljC3CuHcka/LqZzhHCJpJ4R/G3cMP5dsJ9H3s8zndOhyPP6dvBO7h5e/mYrU07vxfQzepvOEcKlrk3pQX5hJa98v434mDAmjexlOqlDkD3vU7R2dwV3r1jDyD6d+cvYoaZzhDDi3svj+N3ASP70zjrs28tM53QIMrxPQXFVDWmZdiJD/Jk/LRk/H7k7Rcfk4+3Fi5OT6R4RyOxFWewtP2w6yePJtDlJtQ2N3LAomwPVdSxMTSEyxN90khBGhQf58soMGzX1TaRl2jlcJ+cAdyYZ3idBa83cd9aTteMAT12XyNDYcNNJQriFAdGhPDsxifV7K7nnzTVyDnAnkuF9EjL+vYNlP+/ixgv6M2Z4rOkcIdzKqCFdufOSwby7ei8vf1NgOsdjyfBuox+3lvLw+3mMio/mjxcPNp0jhFuac35/xgyP4YlPNvDVhmLTOR5Jhncb7Cqr5sbF2fSNDOaZiUl4ecnSdyGORSnFk+MTGRITxi1Lc9hSfNB0kseR4e2gQ7UNzMyw09ikSU+1ERrgazpJCLcW6OfNwlQbfj5epGXYqThcbzrJo8jwdkBTk+aO13PZVFTFi1OS6RsZbDpJCEvoHhHIS9NS2HWgmluW5tAo5wBvNzK8HfD8l5v5ZH0R94+O59xBcqEJIdpiZN/OPHRlAt9sKuGJjzeYzvEYsjz+BD5eV8izn2/mmuTu/O85fU3nCGFJU07vRV5hBQu+LSAuJpRxI3qYTrI82fM+jg37Krnj9dUk9YzgsXHD5NzcQpyCuWOHcnrfztzz5lpW7yo3nWN5MrxbceBQHTMz7IT4+7BgegoBvt6mk4SwNF9vL+ZPTSYqxJ+0TDvFlTWmkyxNhvcx1Dc2MWdxNkWVtSyYnkLXsADTSUJ4hC4h/qSn2qg83MDsRVnUNsgS+pMlw/sYHnk/j38X7Odv44Yxolcn0zlCeJQhsWH8Y0Ii2TvLeXDlOllCf5JkeB9l2X928tq/d3D9OX25NkUOqgjhDKOHxXDLhQN4I2s3//pxu+kcS5LhfQT79jL+9M46fjcwknsvjzOdI4RHu23UIC4e0pVHPsjnhy2lpnMsR4Z3i73lh5m9KJvuEYG8ODkZH2+5a4RwJi8vxTMTk+gfFcycxdns2H/IdJKlyIQCauobmZWZRU19I+mpNsKDZOm7EK4Q4u9DeqoNgJkZdg7WNhguso4OP7y11ty9Yg3r9lbw7MQkBnYNNZ0kRIfSu0sw86Yks7XkELcvz6VJltA7pMMP7wXfFvDu6r3ceclgRg3pajpHiA7pnIGRPDA6ns/yinj2i82mcyyhQy+P/2pDMY9/vIExw2OYc35/0zlCdGi/P7sP+YWVPP/FZuK7hXL5sBjTSW6tw+55byk+yC1Lc4jvFsYT44fL0nchDFNK8ci4BEb0iuCO11eTt7fSdJJb65DDu+JwPWkZdvx8vEifYSPIr0M/ARHCbfj7eLNgWgrhgb7MzLBTdqjOdJLb6nDDu7FJc8vSHHYdqOalaSl0jwg0nSSEOEJ0WAALpqdQcrCWOYuzqG9sMp3kljrc8H7i4w18s6mEh65MYGTfzqZzhBDHkNgzgsevHcaqgjIefi/PdI5b6lCvF7yds4cF3xYw7YxeTDm9l+kcIcRxjBvRg/zCKhZ+W0B8TJj8mz1Kh9nzXrO7nHveXMPpfTszd+xQ0zlCCAfcc1kc5w2KYu676/h5e5npHLfSIYZ3cWUNaRlZRIb4M39qMr6y9F0IS/D2Ujw/eQQ9OgUxOzOLPeWHTSe5DY+fYrUNjcxelEXF4XrSU210CfE3nSSEaIPwQF/SU23UNTSRlmHncJ2cAxw8fHhrrfnT2+vI3lnOPyYkMiQ2zHSSEOIkDIgO4fnJI8grrOSuFavlHOB4+PD+14/bed2+m1suHMBoWa0lhKVdEBfN3ZfG8f6aQuZ/vdV0jnEnHN5KqZ5Kqa+UUnlKqfVKqVtdEXaqfthSyiMf5HPxkK7cNmqQ6RwhRDuYfV4/rkyM5alPN/JFfpHpHKMc2fNuAP6otR4CnAHcqJQa4tysU7NzfzU3Lsmmf1Qwz0xMwstLlr4L4QmUUjx+7XCGxoZx67JcthRXmU4y5oTDW2tdqLXObvm4CsgHujs77GQdrG1gZoYdrSE91UaIf4d6K7sQHi/Qz5uF020E+Hpx/Wt2KqrrTScZ0abXvJVSfYARwE/H+FqaUsqulLKXlJS0U17bNDVp7liey5aSg8ybkkzvLsFGOoQQzhUbEcjL01LYU36Ym5Zm09ABl9A7PLyVUiHAm8BtWuvfnO5La71Qa23TWtuioqLas9Fhz36xmU/zinhgdDznDIw00iCEcA1bn8789aoEvttcyuMfbzCd43IOvaaglPKleXAv1lq/5dykk/PR2kKe/2Iz16X04Pdn9zGdI4RwgUkje5FfWEn6d9uI6xbGtSk9TCe5jCPvNlHAP4F8rfXTzk9qu/zCSu54fTUjekXwyLgEOTe3EB3Ig2OGcGa/Lty3ci25u8pN57iMIy+bnA1MBy5USuW2/Brt5C6HlR2qY2aGnfBAXxZMS8Hfx9t0khDChXy9vZg3NZnoUH9mZdoprqwxneQSjrzb5HuttdJaD9daJ7X8+tAVcSdS39jEnMVZFFfVsmB6CtFhAaaThBAGdA7245UZNqpqGkjLzKKm3vOX0Ft6heXD7+WxqqCMx68dRmLPCNM5QgiD4rqF8fSERHJ3lfPAynUev4TessN7yU87yVy1g7Rz+zFuRMc5SCGEaN1lCTHcetFA3szezas/bDed41SWHN4/by9j7rvrOG9QFPdcFmc6RwjhRm69aCCXDu3Kox/k8d1mM2tOXMFyw3tP+WFmZ2bRo1MQz08egbcsfRdCHMHLS/H0hCQGRody05IctpceMp3kFJYa3ofrGknLsFPX0ER6qo3wQF/TSUIINxTs70N6qg2l4PoMO1U1nreE3jLDW2vNXStWk1dYyfOTRzAgOsR0khDCjfXqEsT8KclsKz3E7ctzaWryrAOYlhne87/eyvtrCrn70jguiIs2nSOEsICzBkTy5zFD+Dy/mKc/22Q6p11Z4pR7n+cV8dSnG7kyMZbZ5/UznSOEsJDUM3uTt7eSF7/aQlxMKGOGx5pOahduv+e9pbiK25bnMjQ2jMevHS5L34UQbaKU4uGrh5LSuxN3vbGG9XsrTCe1C7ce3hXV9Vz/mp0AXy8WTrcR6CdL34UQbefv483L01KICPIlLSOL0oO1ppNOmdsO74bGJm5ams2e8sO8PC2F2IhA00lCCAuLCvVn4XQbpQdrmbMom7oGa58D3G2H9+Mfb+C7zaX89aoEbH06m84RQniAYT3CeWL8cP6zvYyH3ltvOueUuOUByzezdpP+3TZmnNmbSSN7mc4RQniQq5K6k19YxcvfbCU+JoxpZ/Q2nXRS3G7PO3dXOfetXMuZ/brw4Bi3vs6xEMKi7rp0MBcMjuIv765nVcF+0zknxa2Gd1FlDWkZdqJD/Zk3NRlfb7fKE0J4CG8vxXOTR9CrSxBzFmez+0C16aQ2c5vpWFPfyKzMLA7WNvDKDBudg/1MJwkhPFhYgC+vpNqob2xiZkYW1XUNppPaxG2Gd5PWxIQH8PSEROK6hZnOEUJ0AP2iQnhh8gg27qvkrjfWWOoc4G4zvIP8fJg/NZnLEmJMpwghOpDzB0dzz2VxfLC2kHlfbTGd4zC3ereJrJ4UQpiQdm4/Nuyr4qlPNzG4WxgXD+lqOumE3GbPWwghTFFK8bdrhjG8Rzi3LcthU1GV6aQTkuEthBBAgK83C6anEOjnw8wMO+XVdaaTjkuGtxBCtIgJD2TB9BQKy2u4aUkODY3uu4RehrcQQhwhpXcnHhmXwPdbSnnsww2mc1rlVgcshRDCHUyw9SRvbyWv/rCN+JhQrrP1NJ30G7LnLYQQx/DgFfGcPaALD6xcR/bOA6ZzfkOGtxBCHIOPtxcvTk6mW3gAszKz2FdRYzrpv8jwFkKIVnQK9iM91UZ1bQOzMu3U1DeaTvqVDG8hhDiOwd1CeWZiEqt3V3D/W2vdZgm9DG8hhDiBS4Z2446LB/FWzh5e+W6b6RxAhrcQQjjkpgsGcHlCN/72UT7fbCoxnSPDWwghHOHlpXjqukQGdQ3l5iXZbCs9ZLbH6K0LIYSFBPv7kJ5qw9tLcf1rP1NZU2+sRYa3EEK0Qc/OQcyfmsKO/dXctiyXxiYzBzBleAshRBud2b8Lc8cO4csNxfzj041GGmR5vBBCnIRpZ/Qmr7CK+V9vJS4mjCsTY116+w7teSulLlNKbVRKbVFK3evsKCGEcHdKKR66ciin9enE3StWs25PhUtv/4TDWynlDcwDLgeGAJOVUkOcHSaEEO7Oz8eLl6al0DnIj7QMOyVVtS67bUf2vEcCW7TWBVrrOmAZcJVzs4QQwhoiQ/xZmGqjrLqOGxZlUdfgmnOAOzK8uwO7jvjz7pbP/RelVJpSyq6UspeUmH8DuxBCuEpC93CeHJ/IgOgQl91mux2w1FovBBYC2Gw291j8L4QQLjI2MZaxLjxo6cie9x7gyDOR92j5nBBCCEMcGd4/AwOVUn2VUn7AJOBd52YJIYQ4nhO+bKK1blBK3QR8AngDr2qt1zu9TAghRKsces1ba/0h8KGTW4QQQjhIlscLIYQFyfAWQggLkuEthBAWJMNbCCEsSDnjYppKqRJgx0l+eyRQ2o45rmC1Zqv1gjS7itWardYLrTf31lpHOfpDnDK8T4VSyq61tpnuaAurNVutF6TZVazWbLVeaL9medlECCEsSIa3EEJYkDsO74WmA06C1Zqt1gvS7CpWa7ZaL7RTs9u95i2EEOLE3HHPWwghxAnI8BZCCAsyNrxPdFFjpZS/Ump5y9d/Ukr1MZD5S0tPpdRXSqk8pdR6pdStx9jmfKVUhVIqt+XXn020HtW0XSm1tqXHfoyvK6XU8y338RqlVLKJziN6Bh9x/+UqpSqVUrcdtY3x+1kp9apSqlgpte6Iz3VWSn2mlNrc8nunVr53Rss2m5VSMww3P6mU2tDyd79SKRXRyvce93Hkwt6/KKX2HPF3P7qV7zVywfRWmpcf0btdKZXbyve2/T7WWrv8F82nlt0K9AP8gNXAkKO2mQO83PLxJGC5idaW248Bkls+DgU2HaP3fOB9U42tdG8HIo/z9dHAR4ACzgB+Mt181GNkH80LF9zqfgbOBZKBdUd87gng3paP7wUeP8b3dQYKWn7v1PJxJ4PNlwA+LR8/fqxmRx5HLuz9C3CnA4+b484WVzYf9fV/AH9ur/vY1J63Ixc1vgp4reXjFcBFSinlwsZfaa0LtdbZLR9XAfkc4zqeFnQVkKGbrQIilFIxpqNaXARs1Vqf7Epdp9FafwuUHfXpIx+vrwFXH+NbLwU+01qXaa0PAJ8Blzmr80jHatZaf6q1bmj54yqar5LlFlq5jx1h7ILpx2tumV0TgKXtdXumhrcjFzX+dZuWB1gF0MUldcfR8vLNCOCnY3z5TKXUaqXUR0qpoa4tOyYNfKqUylJKpR3j6w5dXNqQSbT+QHe3+xmgq9a6sOXjfUDXY2zjzvf3H2h+FnYsJ3ocudJNLS/zvNrKS1Pueh//DijSWm9u5ettvo/lgGUbKKVCgDeB27TWlUd9OZvmp/iJwAvA2y7OO5ZztNbJwOXAjUqpc00HOaLlcntXAm8c48vueD//F938PNgy78FVSj0ANACLW9nEXR5HLwH9gSSgkOaXIaxiMsff627zfWxqeDtyUeNft1FK+QDhwH6X1B2DUsqX5sG9WGv91tFf11pXaq0Ptnz8IeCrlIp0cebRTXtafi8GVtL8lPJI7npx6cuBbK110dFfcMf7uUXRLy85tfxefIxt3O7+Vkr9DzAGmNryn85vOPA4cgmtdZHWulFr3QSkt9LhjvexD3ANsLy1bU7mPjY1vB25qPG7wC9H48cDX7b24HK2lter/gnka62fbmWbbr+8Jq+UGknzfWvyP5tgpVToLx/TfHBq3VGbvQuktrzr5Ayg4oin/ia1upfibvfzEY58vM4A3jnGNp8AlyilOrU85b+k5XNGKKUuA+4GrtRaV7eyjSOPI5c46njMuFY63PGC6aOADVrr3cf64knfx644CtvK0dXRNL9rYyvwQMvnHqb5gQQQQPPT5i3Af4B+BlvPoflp8Bogt+XXaGA2MLtlm5uA9TQf3V4FnGWqt6WnX0vL6pauX+7jI5sVMK/l72AtYDPZ3NIUTPMwDj/ic251P9P8H0shUE/za6r/S/PxmC+AzcDnQOeWbW3AK0d87x9aHtNbgN8bbt5C8+vDvzymf3l3Vyzw4fEeR4Z6M1sep2toHsgxR/e2/Pk3s8VUc8vn//XL4/eIbU/5Ppbl8UIIYUFywFIIISxIhrcQQliQDG8hhLAgGd5CCGFBMryFEMKCZHgLIYQFyfAWQggL+n8x6tOR8XoVTQAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure()\n", - "plt.plot([1,2,3,4,5,6,7,8,9,8,7,6,5,4,3,2,1,0])\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "id": "e3bda092", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "t = np.arange(0,12,0.01)\n", - "\n", - "y = np.sin(t)" + "pd.merge(left, right, how='inner', on='key') # 교집합" ] }, { "cell_type": "code", - "execution_count": 86, - "id": "8e6cd736", + "execution_count": 97, + "id": "c7bf9909", "metadata": {}, "outputs": [ { "data": { - "image/png": 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" + ], + "text/plain": [ + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 종로구 1772 813 0 0 210 150 1 261 85 \n", + "1 용산구 2383 34 71 234 125 221 298 351 125 \n", + "2 성동구 3602 448 125 212 105 339 310 874 390 \n", + "3 광진구 2588 35 57 100 187 98 52 675 465 \n", + "4 동대문구 2497 1090 146 60 29 111 233 136 197 \n", + "\n", + " 2019년 2020년 2021년 최근증가율 인구수 한국인 외국인 고령자 외국인비율 \\\n", + "0 9 200 43 16.578947 153789 144683 9106 27818 5.921100 \n", + "1 307 617 0 63.331049 237285 222953 14332 39070 6.039994 \n", + "2 262 461 76 28.505173 292672 285990 6682 46380 2.283102 \n", + "3 712 175 32 55.062912 352627 339996 12631 51723 3.581972 \n", + "4 209 223 63 24.725275 352006 337400 14606 62211 4.149361 \n", + "\n", + " 고령자비율 \n", + "0 18.088420 \n", + "1 16.465432 \n", + "2 15.847092 \n", + "3 14.667907 \n", + "4 17.673278 " + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result = pd.merge(CCTV_Seoul, pop_Seoul, on='구별')\n", + "data_result.head() # 새 원본 데이터를 깔아야... 근데 최신데이터로 보고싶은걸" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "85f9eaa1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별총계2012년 이전2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년최근증가율인구수한국인외국인고령자외국인비율고령자비율
0종로구17728130021015012618592004316.5789471537891446839106278185.92110018.088420
1용산구23833471234125221298351125307617063.33104923728522295314332390706.03999416.465432
2성동구36024481252121053393108743902624617628.5051732926722859906682463802.28310215.847092
3광진구2588355710018798526754657121753255.06291235262733999612631517233.58197214.667907
4동대문구2497109014660291112331361972092236324.72527535200633740014606622114.14936117.673278
\n", + "
" + ], + "text/plain": [ + " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n", + "0 종로구 1772 813 0 0 210 150 1 261 85 \n", + "1 용산구 2383 34 71 234 125 221 298 351 125 \n", + "2 성동구 3602 448 125 212 105 339 310 874 390 \n", + "3 광진구 2588 35 57 100 187 98 52 675 465 \n", + "4 동대문구 2497 1090 146 60 29 111 233 136 197 \n", + "\n", + " 2019년 2020년 2021년 최근증가율 인구수 한국인 외국인 고령자 외국인비율 \\\n", + "0 9 200 43 16.578947 153789 144683 9106 27818 5.921100 \n", + "1 307 617 0 63.331049 237285 222953 14332 39070 6.039994 \n", + "2 262 461 76 28.505173 292672 285990 6682 46380 2.283102 \n", + "3 712 175 32 55.062912 352627 339996 12631 51723 3.581972 \n", + "4 209 223 63 24.725275 352006 337400 14606 62211 4.149361 \n", + "\n", + " 고령자비율 \n", + "0 18.088420 \n", + "1 16.465432 \n", + "2 15.847092 \n", + "3 14.667907 \n", + "4 17.673278 " + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.drop(['2012년 이전'], axis = 1)\n", + "data_result.drop(['2012년'], axis = 1)\n", + "data_result.drop(['2013년'], axis = 1)\n", + "data_result.drop(['2014년'], axis = 1)\n", + "data_result.drop(['2015년'], axis = 1)\n", + "data_result.drop(['2016년'], axis = 1)\n", + "data_result.drop(['2017년'], axis = 1)\n", + "data_result.drop(['2018년'], axis = 1)\n", + "data_result.drop(['2019년'], axis = 1)\n", + "data_result.drop(['2020년'], axis = 1)\n", + "data_result.drop(['2021년'], axis = 1)\n", + "data_result.head()\n", + "# 왜안되지" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "9886a987", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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구별총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
0종로구177216.5789471537891446839106278185.92110018.088420
1용산구238363.33104923728522295314332390706.03999416.465432
2성동구360228.5051732926722859906682463802.28310215.847092
3광진구258855.06291235262733999612631517233.58197214.667907
4동대문구249724.72527535200633740014606622114.14936117.673278
\n", + "
" + ], + "text/plain": [ + " 구별 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "0 종로구 1772 16.578947 153789 144683 9106 27818 5.921100 18.088420\n", + "1 용산구 2383 63.331049 237285 222953 14332 39070 6.039994 16.465432\n", + "2 성동구 3602 28.505173 292672 285990 6682 46380 2.283102 15.847092\n", + "3 광진구 2588 55.062912 352627 339996 12631 51723 3.581972 14.667907\n", + "4 동대문구 2497 24.725275 352006 337400 14606 62211 4.149361 17.673278" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "del data_result['2012년 이전']\n", + "del data_result['2012년']\n", + "del data_result['2013년']\n", + "del data_result['2014년']\n", + "del data_result['2015년']\n", + "del data_result['2016년']\n", + "del data_result['2017년']\n", + "del data_result['2018년']\n", + "del data_result['2019년']\n", + "del data_result['2020년']\n", + "del data_result['2021년']\n", + "\n", + "data_result.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "d0fc752f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
구별
종로구177216.5789471537891446839106278185.92110018.088420
용산구238363.33104923728522295314332390706.03999416.465432
성동구360228.5051732926722859906682463802.28310215.847092
광진구258855.06291235262733999612631517233.58197214.667907
동대문구249724.72527535200633740014606622114.14936117.673278
\n", + "
" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "구별 \n", + "종로구 1772 16.578947 153789 144683 9106 27818 5.921100 18.088420\n", + "용산구 2383 63.331049 237285 222953 14332 39070 6.039994 16.465432\n", + "성동구 3602 28.505173 292672 285990 6682 46380 2.283102 15.847092\n", + "광진구 2588 55.062912 352627 339996 12631 51723 3.581972 14.667907\n", + "동대문구 2497 24.725275 352006 337400 14606 62211 4.149361 17.673278" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.set_index('구별', inplace=True)\n", + "data_result.head()\n", + "# 왜 떠있지" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "5132c3d4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1. , -0.37376628],\n", + " [-0.37376628, 1. ]])" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.corrcoef(data_result['고령자비율'],data_result['총계'])" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "f974bf3b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1. , -0.13359732],\n", + " [-0.13359732, 1. ]])" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.corrcoef(data_result['외국인비율'],data_result['총계'])" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "ac2d8956", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1. , 0.44295137],\n", + " [0.44295137, 1. ]])" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.corrcoef(data_result['인구수'],data_result['총계'])" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "bc1a6f79", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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인구수총계
인구수1.0000000.442951
총계0.4429511.000000
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" + ], + "text/plain": [ + " 인구수 총계\n", + "인구수 1.000000 0.442951\n", + "총계 0.442951 1.000000" + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result[['인구수', '총계']].corr()\n", + "# 이게 낫네 확실히" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "5b6d0307", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
구별
강남구650236.3102735378005330424758782260.88471614.545556
관악구494225.52705149944948569913750798712.75303415.991823
구로구407526.31742142116339675424409726115.79561817.240593
성북구395841.1051694401424305289614747092.18429516.973840
은평구379163.7580994771734733073866872410.81018818.282887
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" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "구별 \n", + "강남구 6502 36.310273 537800 533042 4758 78226 0.884716 14.545556\n", + "관악구 4942 25.527051 499449 485699 13750 79871 2.753034 15.991823\n", + "구로구 4075 26.317421 421163 396754 24409 72611 5.795618 17.240593\n", + "성북구 3958 41.105169 440142 430528 9614 74709 2.184295 16.973840\n", + "은평구 3791 63.758099 477173 473307 3866 87241 0.810188 18.282887" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.sort_values(by='총계', ascending=False).head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "e51b2b6c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
구별
송파구285496.8275866639656583385627976910.84748414.713276
강서구256057.6354685797685743155453925580.94054915.964662
강남구650236.3102735378005330424758782260.88471614.545556
노원구241550.4672905149465109563990883450.77483917.156168
관악구494225.52705149944948569913750798712.75303415.991823
\n", + "
" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "구별 \n", + "송파구 2854 96.827586 663965 658338 5627 97691 0.847484 14.713276\n", + "강서구 2560 57.635468 579768 574315 5453 92558 0.940549 15.964662\n", + "강남구 6502 36.310273 537800 533042 4758 78226 0.884716 14.545556\n", + "노원구 2415 50.467290 514946 510956 3990 88345 0.774839 17.156168\n", + "관악구 4942 25.527051 499449 485699 13750 79871 2.753034 15.991823" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.sort_values(by='인구수', ascending=False).head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "daffab30", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "26ed3924", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.plot([1,2,3,4,5,6,7,8,9,8,7,6,5,4,3,2,1,0])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "ea6e61da", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "t = np.arange(0,12,0.01)\n", + "\n", + "y = np.sin(t)" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "90eae782", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ "plt.figure(figsize=(10,6)) \n", "plt.plot(t, y)\n", "plt.show()" @@ -6118,8 +7342,8 @@ }, { "cell_type": "code", - "execution_count": 87, - "id": "9a89be42", + "execution_count": 111, + "id": "b5638023", "metadata": {}, "outputs": [ { @@ -6146,8 +7370,8 @@ }, { "cell_type": "code", - "execution_count": 88, - "id": "9c6dee35", + "execution_count": 112, + "id": "8f8b8438", "metadata": {}, "outputs": [ { @@ -6175,8 +7399,8 @@ }, { "cell_type": "code", - "execution_count": 89, - "id": "3a5116cb", + "execution_count": 113, + "id": "bf76522a", "metadata": {}, "outputs": [ { @@ -6205,13 +7429,293 @@ }, { "cell_type": "code", - "execution_count": 90, - "id": "c17fdf77", + "execution_count": 114, + "id": "7351425a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, np.sin(t), label='sin')\n", + "plt.plot(t, np.cos(t), label='cos')\n", + "plt.grid()\n", + "plt.legend()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "fa7486aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, np.sin(t), lw=3, label='sin')\n", + "plt.plot(t, np.cos(t), 'r', label='cos')\n", + "plt.grid()\n", + "plt.legend()\n", + "plt.xlabel('time')\n", + "plt.ylabel('Amplitude')\n", + "plt.title('Example of sinewave')\n", + "plt.ylim(-1.2, 1.2)\n", + "plt.xlim(0, np.pi)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "ec072aed", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = np.arange(0, 5, 0.5)\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, t, 'r--')\n", + "plt.plot(t, t**2, 'bs')\n", + "plt.plot(t, t**3, 'g^')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "97ac2185", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = np.arange(0, 5, 0.5)\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "pl1 = plt.plot(t, t**2, 'bs')\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "pl2 = plt.plot(t, t**3, 'g^')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "04e84997", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "t = [0, 1, 2, 3, 4, 5, 6] \n", + "y = [1, 4, 5, 8, 9, 5, 3]\n", + "\n", + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "5ea8160d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green', linestyle='dashed', marker='o',\n", + " markerfacecolor = 'blue')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "bed08e97", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "plt.plot(t, y, color='green', linestyle='dashed', marker='o',\n", + " markerfacecolor = 'blue', markersize=12)\n", + "\n", + "plt.xlim([-0.5, 6.5])\n", + "plt.ylim([0.5, 9.5])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "id": "4f115ba9", + "metadata": {}, + "outputs": [], + "source": [ + "t = np.array([0,1,2,3,4,5,6,7,8,9])\n", + "y = np.array([9,8,7,9,8,3,2,4,3,4])" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "id": "2da4a5d9", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -6224,25 +7728,19 @@ ], "source": [ "plt.figure(figsize=(10,6))\n", - "plt.plot(t, np.sin(t), label='sin')\n", - "plt.plot(t, np.cos(t), label='cos')\n", - "plt.grid()\n", - "plt.legend()\n", - "plt.xlabel('time')\n", - "plt.ylabel('Amplitude')\n", - "plt.title('Example of sinewave')\n", + "plt.scatter(t,y)\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 91, - "id": "279e2935", + "execution_count": 125, + "id": "a5f9ea15", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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396HunnX3bGVlZTM3ArAAu5Yqu5evyD37bs6Re++Yeg5sOcvzHFRVu3IukA5395cWOwmARdq1VFmqyoHZnty3/7Zcd83uqSfBlrRuJFVVJflCkhe7+7cXPwmARbn+2itz994bxBHMYZ5Xkj6e5BeTPFdVz55/7IHu/uOFrQJgIY4+cNfUE2DbWDeSuvt/JKlLsAUAYMvwidsAAAMiCQBgQCQBAAyIJACAAZEEADAgkgAABkQSAMCASAIAGBBJAAAD1d2b/02r1pJ8c9O/8Vu9P8m3F/zfYLGcw+3N+dv+nMPtzzncHDd398qFDy4kki6Fqlrt7tnUO7h4zuH25vxtf87h9uccLpbbbQAAAyIJAGBgO0fSoakH8K45h9ub87f9OYfbn3O4QNv2PUkAAIu0nV9JAgBYmG0XSVX1iar6s6r686r6jan3sDFVtaeqnqiqr1XVC1V1/9SbuDhVtVRVz1TVl6fewsZV1Y9U1ZGq+npVvVhVd0y9iflV1a+e/zP0+ar6YlXtnnrTTrStIqmqlpL86yQ/k2Rvkl+oqr3TrmKDzib5te7em+T2JL/sHG5b9yd5ceoRXLTfTfKV7v7bST4c53LbqKobk9yXZNbdH0qylOTT067ambZVJCX5WJI/7+5vdPf3k/z7JD8/8SY2oLu/1d1Pn//1d3PuD+Ybp13FRlXVTUl+Lsnnp97CxlXVDyf5qSRfSJLu/n53f2fSUWzUcpL3VtVykquS/NXEe3ak7RZJNyY58abfvxRPsNtWVd2S5KNJjk48hY37nSS/nuT1iXdwcW5Nspbk98/fMv18VV099Sjm090vJ/mtJMeTfCvJ33T3V6ddtTNtt0hih6iqH0ryR0k+292npt7D/Krqk0lOdvexqbdw0ZaT/ESS3+vujyb5XhLv8dwmqupHc+4uyq1JfizJ1VX1mWlX7UzbLZJeTrLnTb+/6fxjbCNVtSvnAulwd39p6j1s2MeTfKqq/jLnbnn/dFX9wbST2KCXkrzU3W+8insk56KJ7eGuJH/R3WvdfSbJl5L85MSbdqTtFkn/M8mPV9WtVfWenHuj2n+ceBMbUFWVc++DeLG7f3vqPWxcd3+uu2/q7lty7v/B/9Ld/ha7jXT3Xyc5UVUfPP/Q/iRfm3ASG3M8ye1VddX5P1P3xxvvF2J56gEb0d1nq+qfJ/lPOfdu/n/T3S9MPIuN+XiSX0zyXFU9e/6xB7r7j6ebBJelX0ly+PxfOL+R5Jcm3sOcuvtoVR1J8nTO/cTwM/HJ2wvhE7cBAAa22+02AIBLQiQBAAyIJACAAZEEADAgkgAABkQSAMCASAIAGBBJAAAD/x88P6Mp1KSaHQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -6255,27 +7753,19 @@ ], "source": [ "plt.figure(figsize=(10,6))\n", - "plt.plot(t, np.sin(t), lw=3, label='sin')\n", - "plt.plot(t, np.cos(t), 'r', label='cos')\n", - "plt.grid()\n", - "plt.legend()\n", - "plt.xlabel('time')\n", - "plt.ylabel('Amplitude')\n", - "plt.title('Example of sinewave')\n", - "plt.ylim(-1.2, 1.2)\n", - "plt.xlim(0, np.pi)\n", + "plt.scatter(t,y, marker='>')\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 92, - "id": "1b6604d7", + "execution_count": 126, + "id": "f890b442", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -6287,38 +7777,24 @@ } ], "source": [ - "t = np.arange(0, 5, 0.5)\n", + "colormap = t\n", "\n", "plt.figure(figsize=(10,6))\n", - "plt.plot(t, t, 'r--')\n", - "plt.plot(t, t**2, 'bs')\n", - "plt.plot(t, t**3, 'g^')\n", + "plt.scatter(t,y, s = 50, c = colormap, marker='>')\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 93, - "id": "3e3dee30", + "execution_count": 127, + "id": "bc78a17a", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, "metadata": { @@ -6328,26 +7804,35 @@ } ], "source": [ - "t = np.arange(0, 5, 0.5)\n", - "\n", - "plt.figure(figsize=(10,6))\n", - "pl1 = plt.plot(t, t**2, 'bs')\n", + "colormap = t\n", "\n", "plt.figure(figsize=(10,6))\n", - "pl2 = plt.plot(t, t**3, 'g^')\n", - "\n", + "plt.scatter(t,y, s = 50, c = colormap, marker='>')\n", + "plt.colorbar()\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 94, - "id": "9f40b944", + "execution_count": 128, + "id": "476027c2", + "metadata": {}, + "outputs": [], + "source": [ + "s1 = np.random.normal(loc=0, scale=1, size=1000)\n", + "s2 = np.random.normal(loc=5, scale=0.5, size=1000)\n", + "s3 = np.random.normal(loc=10, scale=2, size=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "id": "864370ee", "metadata": {}, "outputs": [ { "data": { - "image/png": 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JGApnKaw6hxSyEBYIqReChKQETDw4UXUO0XtxJBGRzq25sAYhMSHoXa43/Ev4q84hA1AhTwW0KtkKkw5Nws2nN1XnEKWLI4mIdOqPR3+g4/qOKJe7HCbXnaw6hwzIL7X/PFhyyI4hikuI0seRREQ68+rtK/hr/GEpLLHabzVsLG1UJ5EB8XTxxPcVv8fKsytx6NYh1TlE/wdHEhHpTPCWYJy8exJLmy9FXte8qnPIAA2qNAi5nHOh39Z+PBKADA5HEhHpxLLTyxB6PBRDKg1Bw8INVeeQgXKyccL4WuNx5PYRrDizQnUO0T9wJBGR1p27fw5do7qiat6qGFtzrOocMnBtS7WFTy4fDNkxBC+SX6jOIfofjiQi0qrnyc/hr/GHk40TVrZYCSsLK9VJZOD+OhLgdtJtTDo0SXUO0f9wJBGR1kgp0S2qGy4+uIgV36xALudcqpPISFTyrISWJVpi4sGJuPX0luocIgAcSUSkRaHHQrH8zHKMrj4atfLXUp1DRmZC7QlIk2kYunOo6hQiABxJRKQlx+8cR58tfVCvQD0MqzpMdQ4ZobyueTGw4kAsP7Mc0fHRqnOIOJKI6PM9ef0E/hp/uDu4Y2nzpbAQ/NJCn2ZI5SHI4ZQDwVuCIaVUnUNmjl/JiOizSCnRcX1H3Hx6E6v9V8Pd0V11Ehmxv44EiLkdg5VnV6rOITPHkUREnyUkOgTrLq7DhNoTUDFPRdU5ZAK+/fJblMlZBoN3DMbLty9V55AZ++BIEkIUEUKc/Ntfz4QQwXpoIyIDd+jWIQzaMQjNijZDP99+qnPIRPx1JED8s3hMPsSf90fqfHAkSSkvSSm9pZTeAMoCeAlgra7DiMiwPXj5AC0jWsLTxRMLmy6EEEJ1EpmQKnmrwL+4PyYcnID4Z/Gqc8hMfezttloArkop43QRQ0TGIU2moe2atrj/4j40/hq42rmqTiITNKH2BKSmpeKHnT+oTiEz9bEjKRAAX0lHZObG7R+HrVe3Ynr96SiTs4zqHDJR+dzyoX+F/lh6eimO3D6iOofMkMjoWyyFEDYAEgCUkFLeS+e/DwIQBACenp5l4+J4sYnIFO26vgt1ltZBYMlALGu+jLfZSKeS3iSh0MxCyO+WHwc7HeT/30gnhBDHpJQ+//74x1xJagDgeHoDCQCklKFSSh8ppY+7O98CTGSK7iTdQevI1iicpTB+bfQr/4VFOuds64xxtcbhcPxhhJ8LV51DZuZjRlIr8FYbkdlKSUtBYGQgkpKTEOEfAScbJ9VJZCbaf9kepXOUxqDtg/Dq7SvVOWRGMjSShBCOAOoAWKPbHCIyVCN2j8C+uH2Y13AeSmQroTqHzIilhSWm1ZuGW89uYcrhKapzyIxkaCRJKV9IKbNIKZ/qOoiIDM/Gyxsx/sB4fFfmO7T7sp3qHDJD1byqoUWxFhh/YDwSkhJU55CZ4InbRPSf4p7Eod3advDO4Y3p9aerziEzNrHORKSkpfBIANIbjiQieq/k1GQERAQgVaZC46+BvbW96iQyY/nd8qOfbz8sPrUYsQmxqnPIDHAkEdF7fb/texy5fQQLmixAwcwFVecQ4YcqPyCbYzYEbwlGRo+wIfpUHElElC7NOQ1mHJmBvuX7okXxFqpziAAAmWwz4eeaP+PgrYPQnNeoziETx5FERP/HlYdX0HlDZ/h6+GJinYmqc4j+oaN3R3yZ/UseCUA6x5FERP/w6u0r+Gn8YG1pjXC/cNhY2qhOIvqHv44EiHsah2nR01TnkAnjSCKif+i9uTdO3zuNZc2XwdPFU3UOUbpq5KuB5kWbY9z+cbiTdEd1DpkojiQi+p/FJxcj7EQYfqj8AxoUaqA6h+g/TaozCcmpyRi2a5jqFDJRHElEBAA4e/8sum/sjmp5q2F0jdGqc4g+qEDmAgj2Dcaik4twLOGY6hwyQRxJRISkN0nwW+2HTLaZsLLFSlhZWKlOIsqQYVWGIatDVvTb2o9HApDWcSQRmTkpJYKignDl0RWsbLESOZ1zqk4iyjAXOxf8VPMn7L+5H5EXIlXnkInhSCIyc/Ni52HV2VUYU30MauSroTqH6KN1Lt0ZpbKXwvfbv8frlNeqc8iEcCQRmbFjCccQvDUYDQo2wNAqQ1XnEH2Sv44EuPHkBkKiQ1TnkAnhSCIyU49fPYa/xh/ZHbNjafOlsBD8ckDGq2a+mmhapCnG7R+Hu8/vqs4hE8GvikRmSEqJjus74tazWwj3C0cWhyyqk4g+26Q6k/A65TWG7xquOoVMBEcSkRmaengq1l9aj0l1JqFCngqqc4i0olCWQuhTvg/CToTh5N2TqnPIBHAkEZmZgzcPYvCOwfim2DfoW76v6hwirfqx6o/I4pAFwVuCeSQAfTaOJCIzkvgiES0jWsLL1QsLmiyAEEJ1EpFWudq5YmyNsdgbtxfrLq5TnUNGjiOJyEykpqWi7dq2ePDyASICIuBi56I6iUgnupTpgpLZSmLg9oF4k/JGdQ4ZMY4kIjPx8/6fse3qNsxsMBPeObxV5xDpjJWFFabWnYprj69hRswM1TlkxDiSiMzAjms7MGrPKLQt1RZdynRRnUOkc3UK1EHjwo0xdt9Y3Ht+T3UOGSmOJCITl5CUgNaRrVHMvRjmNZzH1yGR2ZhcdzJepbzCiN0jVKeQkeJIIjJhKWkpCIwIxIu3LxDhHwFHG0fVSUR6UzhLYfQu1xvzT8zHqbunVOeQEeJIIjJhw3YOw/6b+xHaKBTF3IupziHSu+FVh8PNzg39tvbjkQD00TiSiEzU75d+x8RDE9G1bFe0KdVGdQ6REm72bhhTYwx239iNDZc2qM4hI8ORRGSCbjy5gfbr2qN0jtIIqR+iOodIqaCyQSjuXhwDtg3gkQD0UTiSiEzMm5Q38Nf4I02mQeOvgZ2VneokIqWsLKwwrd40XH18FbOOzFKdQ0aEI4nIxAzcNhCxCbFY2HQhCmQuoDqHyCDULVAXDQs1xJh9Y5D4IlF1DhmJDI0kIYSrECJCCHFRCHFBCMGfiElkgMLPhmPW0Vno79sfzYs1V51DZFAm152Ml29f8kgAyrCMXkmaDmCLlLIogC8BXNBdEhF9iksPLqHL711QwaMCfqn9i+ocIoNTNGtR9PyqJ0KPh+LMvTOqc8gIfHAkCSFcAFQFEAYAUspkKeUTHXcR0Ud4+fYl/DX+sLW0RbhfOKwtrVUnERmkEdVGwNXOlUcCUIZk5EpSPgCJABYKIU4IIeYLIXgiHZEB6bWpF87eP4tl3yxDHpc8qnOIDFZm+8wYXX00dl7fiajLUapzyMBlZCRZASgDYK6UsjSAFwCG/PtBQoggIUSsECI2MZEviiPSl4UnFmLhyYUYVmUY6hesrzqHyOB1LdsVxbIWw4BtA5Ccmqw6hwxYRkZSPIB4KWXMu19H4M/R9A9SylAppY+U0sfd3V2bjUT0HmfunUHPTT1Rw6sGRlUfpTqHyChYW1pjar2puPLoCmYfma06hwzYB0eSlPIugFtCiCLvPlQLwHmdVhHRBz178wx+Gj+42LlgRYsVsLSwVJ1EZDTqF6yPBgUbYPTe0Xjw8oHqHDJQGX13W28Ay4UQpwF4AxinsyIi+iApJYJ+D8Ifj/7AqharkMMph+okIqMzpe4UPE9+jpG7R6pOIQOVoZEkpTz57lZaKSllMynlY12HEdH7zTk6B+HnwvFzzZ9Rzaua6hwio1TMvRh6fNUD847Nw9n7Z1XnkAHiidtERubo7aPot7Ufvi70NQZVGqQ6h8iojaw2Ei62Lui/tT+PBKD/gyOJyIg8fvUY/hp/5HTOiSXNlsBC8B9hos+RxSELRlUfhe3XtmPTlU2qc8jA8CsskZFIk2lov649EpISsNpvNbI4ZFGdRGQSuvt0R5EsRdB/W3+8TX2rOocMCEcSkZGYfGgyfr/8OybXnYzyHuVV5xCZjL+OBLj88DLmHJ2jOocMCEcSkRHYH7cfP+z8Af7F/dG7XG/VOUQmp0HBBqhXoB5G7R2Fhy8fqs4hA8GRRGTg7r+4j8DIQORzy4f5TeZDCKE6icjkCCEwpe4UJL1Jwqg9o1TnkIHgSCIyYKlpqWgd2RqPXj1ChH8EMtlmUp1EZLJKZCuBbj7dMDd2Ls4n8sxk4kgiMmhj943Fzus7MavBLHyZ40vVOUQmb1T1UXC2dcaAbQNUp5AB4EgiMlDbrm7DmL1j0P7L9uhUupPqHCKzkNUhK0ZWG4ktf2zB5iubVeeQYhxJRAYo/lk82qxpg+LuxTH769l8HRKRHvX4qgcKZynMIwGII4nI0LxNfYvAiEC8TnmNiIAIONo4qk4iMis2ljaYUncKLj64iHmx81TnkEIcSUQG5oedP+DgrYMIbRSKolmLqs4hMksNCzVEnfx1MHLPSDx69Uh1DinCkURkQNZfXI/Jhyeju093tPqileocIrMlhMDUelPx9M1TjN4zWnUOKcKRRGQgrj2+hvbr2qNszrKYVm+a6hwis1cyW0l0LdsVs4/OxoXEC6pzSAGOJCID8DrlNQI0AQAAjb8Gtla2iouICABGVx8NJxsnDNw+UHUKKcCRRGQABmwdgGN3jmFxs8XI55ZPdQ4RvePu6I4R1UZg05VN2PLHFtU5pGccSUSKrTq7CnNi52BghYFoWrSp6hwi+pde5XqhYOaC6L+1P1LSUlTnkB5xJBEpdPHBRXTZ0AWV8lTCuFrjVOcQUTr+OhLgwoML+DX2V9U5pEccSUSKvHz7En6r/WBvbY9VfqtgbWmtOomI3qNx4caola8WRuwZgcevHqvOIT3hSCJSQEqJHht74HzieSz/Zjk8MnmoTiKi//DXkQBPXj/BmL1jVOeQnnAkESmw4MQCLD61GMOrDkfdAnVV5xBRBpTKXgpdSnfBrKOzcOnBJdU5pAccSUR6duruKfTa3Au189fGiGojVOcQ0UcYW3Ms7K3seSSAmeBIItKjZ2+ewV/jDzc7Nyz/ZjksLSxVJxHRR8jmmA3Dqw5H1OUobLu6TXUO6RhHEpGeSCnReUNnXHt8DeF+4cjmmE11EhF9gj7l+yC/W34eCWAGOJKI9GTWkVmIOB+BcbXGoUreKqpziOgT2VrZYnKdyTiXeA6/HftNdQ7pEEcSkR7ExMdgwLYBaFy4MQZW5GsZiIxds6LNUN2rOobvHo4nr5+oziEd4Ugi0rGHLx8iICIAuZxzYVGzRbAQ/MeOyNgJITCt3jQ8evUIY/eOVZ1DOsKv1kQ6lCbT8O26b3H3+V1o/DXIbJ9ZdRIRaYl3Dm90Lt0ZM47MwOWHl1XnkA5kaCQJIW4IIc4IIU4KIWJ1HUVkKiYenIhNVzZhat2p+Cr3V6pziEjLfqr5E+yt7PH99u9Vp5AOfMyVpBpSSm8ppY/OaohMyN4bezFs1zAElAhAj696qM4hIh3I7pQdw6oMw4ZLG7Dj2g7VOaRlvN1GpAP3nt9DYGQgCmYuiPmN50MIoTqJiHSkr29f5HPNh35b+/FIABOT0ZEkAWwTQhwTQgTpMojImD178wzTo6fDN8wXT14/QYR/BJxtnVVnEZEO2VnZYVKdSTh7/ywGbB2ANJmmOom0xCqDj6sspbwthMgGYLsQ4qKUct/fH/BuPAUBgKenp5YziQzb9cfXMSNmBsJOhCEpOQkV81REWJMwfJH9C9VpRKQH3xT7Br3L9caMIzNw5/kdLGm+BHZWdqqz6DNlaCRJKW+/+8/7Qoi1AMoB2Pevx4QCCAUAHx8fqeVOIoMjpcT+m/sREh2C9ZfWw0JYIKBEAPqW74tyucupziMiPRJCYHr96cjrkhcDtw9EQlIC1geuRxaHLKrT6DN8cCQJIRwBWEgpk979fV0AY3ReRmSgklOTEX42HCExITh+5zgy22fG4EqD0eOrHvDI5KE6j4gUEUJgQMUByOOSB+3WtkOlBZWwqc0m5HfLrzqNPlFGriRlB7D23QtPrQCskFJu0WkVkQFKfJGIebHzMCd2Du4+v4tiWYvh10a/om2ptnCwdlCdR0QGIqBEAHI65UTTVU1RIawColpF8QgQIyWk1P6dMR8fHxkby+OUyDScuXcG02OmY9npZXiT+gb1C9ZHcPlg1C1Ql+9aI6L3uvjgIhosb4D7L+5jVYtVaFykseokeg8hxLH0jjjiEQBE6UiTaYi6HIXaS2qj1LxSWHFmBTp6d8T5Huexuc1m1CtYjwOJiP5T0axFEd05GsXdi6NZeDPMPTpXdRJ9pIy+u43ILDxPfo7FJxdjesx0XHl0Bbmdc2N8rfH4rsx3fAEmEX207E7Zsaf9HgRGBqLHph648eQGxtcez5/haCQ4kogA3Hx6EzNjZuK347/h6ZunKJe7HFa2WIkWxVrA2tJadR4RGTFHG0esbbkWvTf1xsRDE3Hz2U0saroItla2qtPoAziSyGxJKXE4/jBCokOw5sIaAECL4i0QXD4YFfJUUFxHRKbEysIKcxrOgZerF4bsHIKEpASsa7kObvZuqtPoP3Akkdl5m/oWmvMahESH4GjCUbjauWJAhQHoWa4nPF14ECoR6YYQAoMrD4aniyc6rO/wvyMCvFy9VKfRe3Akkdl4+PIhQo+FYtbRWUhISkDhLIUx++vZaP9lezjaOKrOIyIz0eqLVsjlnAvNwpv974iAsrnKqs6idPCVY2TyzieeR9ffuyLPtDz4YdcPKOFeAhtbb8SFnhfQ46seHEhEpHfVvKrhYKeDsLG0QbVF1bDpyibVSZQOjiQySVJKbPljC+ovq48Sc0pg8anFaPNFG5zpfgbb2m3D14W+5rtLiEip4u7FEd05GoWzFEaTlU0QeixUdRL9C2+3kUl5+fYllp5aiukx03HhwQXkdMqJn2r8hKCyQXB3dFedR0T0Dzmdc2Jfx30I0ASga1RXxD2Jw081f+I5bAaCI4lMQvyzeMw+Mhuhx0Px6NUjlMlZBkubL0VAiQDYWNqoziMiei8nGydsaLUB3aO6Y9yBcYh7GocFTRfwa5cB4Egio3bk9hGERIdAc16DNJmG5kWbI9g3GJXyVOJ3YkRkNKwsrBDaOBT53PJh2K5hSEhKwJqWa+Bq56o6zaxxJJHRSUlLwZoLaxASHYLD8YeRyTYT+pTrg17leiGfWz7VeUREn0QIgR+q/ABPF090Wt8JlRdUxqY2m3g0iUIcSWQ0Hr96jPnH52PmkZm49ewWCrgVwIz6M9DBuwOcbZ1V5xERaUXbUm2RyzkXmoc3h+98X2xqswneObxVZ5klvr2HDN6lB5fQc2NPeEzzwKAdg1Awc0GsD1yPS70uoXf53hxIRGRyauariYOdDsLSwhJVFlbB1j+2qk4ySxxJZJCklNhxbQcarWiEorOLYv6J+WhZoiVOdj2JXe13oUmRJrC0sFSdSUSkMyWzlUR052gUcCuAhisaIux4mOoks8PbbWRQXr19heVnliMkOgTnEs8hm2M2jKo2Ct18uiG7U3bVeUREepU7U27s67gP/hp/dPm9C+KexmF09dF8Y4qecCSRQbiTdAdzjs7BvGPz8ODlA3yZ/UssaroIgSUD+ZOyicisZbLNhKhWUega1RVj943Fzac3Edo4lEcE6AFHEil1LOEYQmJCEH42HClpKWhSpAmCfYNRLW81fqdERPSOtaU1wpqEwcvVCyP3jMTtpNuIDIhEJttMqtNMGkcS6V1qWirWX1qPkOgQ7L+5H042TujxVQ/0LtcbBTIXUJ1HRGSQhBAYUW0E8rrkRZffu6DKwirY2HojPDJ5qE4zWRxJpDdPXz9F2IkwzDwyEzee3ICXqxem1p2KTqU7wcXORXUeEZFRaO/dHrmcc6HF6hb/OyKgVPZSqrNMEt/dRjp39dFV9N3cFx7TPDBg2wB4unhiTcAa/NH7D/Sr0I8DiYjoI9UpUAcHOh0AAFRZWAU7ru1QXGSaOJJIJ6SU2HNjD5qtaoZCMwthbuxcNC/aHLHfxWJvh71oXqw538JPRPQZSmUvhegu0cjrkhcNljfA4pOLVSeZHN5uI616k/IGK8+uREh0CE7dO4WsDlnxY9Uf0d2nO3I651SdR0RkUjwyeWB/x/1osboFOqzvgJtPb+LHqj/yjS9awpFEWnHv+T3Mi52HObFzcP/FfZTMVhLzG89H6y9aw97aXnUeEZHJcrFzwaY2m/Dd799hxJ4RiHsah7kN58La0lp1mtHjSKLPcuruKYTEhGDFmRVITk1Go8KNEFw+GDXz1eR3MkREemJjaYNFTRfBy8ULY/aNQfyzeGj8NfyxTZ+JI4k+WmpaKjZe2YiQ6BDsvrEbDtYO+K7Md+hTvg8KZymsOo+IyCwJITC6xmh4uniia1RXVF1UFRtbb0Qu51yq04wWRxJlWNKbJCw8uRAzYmbg6uOr8HTxxKQ6k9C5dGe42bupziMiIgCdy3SGRyYP+Gn84DvfF5vbbEaJbCVUZxklvruNPuj64+sYsHUAPKZ5oO+WvsjulB2r/Vbjap+rGFhxIAcSEZGBqVewHvZ12IeUtBRUWlAJu6/vVp1klDI8koQQlkKIE0KIKF0GkWGQUmJ/3J/vmCg4syBmHJmBhoUaIqZLDA52Ogj/Ev6wsuCFSCIiQ1U6Z2lEd4mGRyYP1FtWD8tPL1edZHQ+5t9yfQFcAMAfFGPCklOTsfrcaoREh+DYnWPIbJ8ZgysNRo+vevDoeyIiI+Pp4okDnQ6geXhztF3bFnFP4zC08lC+sSaDMjSShBAeABoC+BlAf50WkRIPXj7AvNh5mH10Nu4+v4uiWYtiXsN5aPdlOzhYO6jOIyKiT+Rq54otbbag84bOGLZrGOKexGF2w9m8G5ABGX2GQgAMAsD3Epqg3dd3o+GKhniV8gr1C9ZHcPlg1ClQBxaCL1kjIjIFtla2WNp8KfK65MW4A+MQnxSPcL9wONk4qU4zaB8cSUKIRgDuSymPCSGq/8fjggAEAYCnp6e2+kjHEpISEBgZiLyueREZEIni7sVVJxERkQ4IIfBzrZ+R1zUvemzsgWqLqmFj643I4ZRDdZrBysilgkoAmgghbgBYBaCmEGLZvx8kpQyVUvpIKX3c3d21nEm6kJKWglaRrfA8+TkHEhGRmQgqG4QNrTbg0oNL8J3viwuJF1QnGawPjiQp5VAppYeU0gtAIIBdUsq2Oi8jnRu+azj2xe3Dr41+5UAiIjIjXxf6Gns77MXrlNeouKAi9sXtU51kkPiiEzMVdTkKvxz8Bd+V+Q5tS3HzEhGZm7K5yiK6SzRyOOVAnaV1sOrsKtVJBuejRpKUco+UspGuYkg/bjy5gW/XfgvvHN6Y0WCG6hwiIlLEy9ULBzsdRPnc5dEqshUmHpwIKaXqLIPBK0lmJjk1GQGaAKTKVGj8NbCzslOdRERECmW2z4xt7bahZYmWGLxjMHpu6omUtBTVWQaBhySYmYHbBuJowlFEBkSiYOaCqnOIiMgA2FnZYUWLFcjrkhcTD01E/LN4rGyxEo42jqrTlOKVJDOiOafBzCMzEVw+GN8U+0Z1DhERGRALYYEJdSZgVoNZ2HhlI2osroF7z++pzlKKI8lMXH54GZ03dIavhy8m1JmgOoeIiAxUz3I9sbblWpy9fxYVwirg0oNLqpOU4UgyA6/evoK/xh/WltYI9wuHjaWN6iQiIjJgTYo0wZ4Oe/A8+TkqLqiIAzcPqE5SgiPJDPTe3Bun753GsubL4OnC09CJiOjDyuUuh+gu0cjqkBW1l9SG5pxGdZLecSSZuMUnFyPsRBiGVRmGBoUaqM4hIiIjkt8tPw51OoSyucoiICIAUw5NMasjAjiSTNiZe2fQfWN3VPeqjlHVR6nOISIiI5TFIQt2tNsBv+J+GLh9IPpu6YvUtFTVWXrBkWSikt4kwV/jDxc7F6xssRJWFjztgYiIPo29tT3C/cLR37c/Zh6ZCT+NH16+fak6S+c4kkyQlBJBUUG48ugKVrZYyZ/wTEREn81CWGBKvSmYXn861l9cj5qLayLxRaLqLJ3iSDJBc2PnYtXZVRhbYyyqe1VXnUNERCakT/k+iAyIxKl7p1AhrAKuPLyiOklnOJJMTGxCLPpt7YevC32NIZWHqM4hIiIT1LxYc+xuvxtP3zxFhbAKOHzrsOokneBIMiGPXz2Gv8Yf2R2zY0mzJbAQ/J+XiIh0w9fDF4c7H4abvRtqLqmJNRfWqE7SOv5b1ERIKdFhfQfcfnYbq/1XI4tDFtVJRERk4gpmLohDnQ7BO4c3/Fb7YXr0dNVJWsWRZCKmHJ6CDZc2YFKdSfD18FWdQ0REZsLd0R07v92JZkWbIXhrMPpt6Yc0maY6Sys4kkzAgZsHMGTHELQo1gJ9yvdRnUNERGbGwdoBGn8N+pTrg5CYEARoAvDq7SvVWZ+Nh+cYufsv7qNlREvkc8uHsCZhEEKoTiIiIjNkaWGJ6Q2mw8vVCwO2DcCd53ewPnA9sjpkVZ32yXglyYilpqWizZo2ePjyITT+GrjYuahOIiIiM9evQj+s9l+NYwnHUDGsIq4+uqo66ZNxJBmxn/b9hB3XdmBmg5nwzuGtOoeIiAgA4FfcDzu/3YmHrx6iQlgFxMTHqE76JBxJRmr71e0YvXc02pVqhy5luqjOISIi+odKnpVwuPNhONs6o8biGlh/cb3qpI/GkWSEbj+7jTZr2qCYezHMbTiXr0MiIiKDVDhLYRzufBgls5VE8/DmmHVkluqkj8KRZGTepr5FYGQgXr59iQj/CDjaOKpOIiIieq9sjtmwu/1uNC7SGL0398b32743miMCOJKMzLBdw3Dg5gGENg5FMfdiqnOIiIg+yNHGEWsC1qDnVz0x+fBktIpshdcpr1VnfRCPADAiGy5twKRDk9CtbDe0/qK16hwiIqIMs7SwxMwGM+Hl6oXvt3+PhKQErA9cj8z2mVWnvRevJBmJ64+vo/269iiTswym1Z+mOoeIiOijCSEwsOJArGqxCkduH0HFsIq4/vi66qz34kgyAm9S3iAgIgBSSmj8NbCzslOdRERE9MlalmyJHe124P6L+/AN80VsQqzqpHRxJBmBAdsGIDYhFouaLUJ+t/yqc4iIiD5blbxVcLDTQThYO6DaomqIuhylOun/4EgycOFnwzH76Gz09+2PZkWbqc4hIiLSmmLuxXC482EUy1oMTVc1xbzYeaqT/uGDI0kIYSeEOCKEOCWEOCeEGK2PMAIuPbiELr93QcU8FfFL7V9U5xAREWldDqcc2NNhDxoUbIDuG7tjyI4hBnNEQEauJL0BUFNK+SUAbwD1hRC+Oq0ivHz7En4aP9ha2iLcLxzWltaqk4iIiHTCycYJ6wLXoWvZrphwcALarmmLNylvVGd9+AgAKaUE8PzdL63f/SV1GUVAz009ce7+OWxusxkemTxU5xAREemUlYUV5jacCy9XLwzdORQJSQlY23It3OzdlDVl6DVJQghLIcRJAPcBbJdSGudPqjMSC08sxKKTi/Bj1R9Rr2A91TlERER6IYTAkMpDsPyb5Th06xAqLaiEhy8fKuvJ0GGSUspUAN5CCFcAa4UQJaWUZ//+GCFEEIAgAPD09NR2p9k4fe80emzqgZr5amJktZGqc4iIiPSu9Retkcs5FyLORyg9bFL8eTftI36DECMAvJRSTn7fY3x8fGRsrGGeeWDInr15Bp9QHzxPfo4TXU8gu1N21UlEREQmTwhxTErp8++PZ+Tdbe7vriBBCGEPoA6Ai1ovNHNSSnTZ0AVXH1/FKr9VHEhERESKZeR2W04Ai4UQlvhzVK2WUhreiU9GbvbR2dCc12B8rfGomreq6hwiIiKzl5F3t50GUFoPLWbryO0j6L+1PxoVboRBlQapziEiIiLwxG3lHr16hABNAHI658TiZothIfg/CRERkSHI0LvbSDfSZBrar2uPhKQEHOh0QOkr+ImIiOifOJIUmnRwEqIuR2FG/Rkol7uc6hwiIiL6G97bUWRf3D4M2zUM/sX90atcL9U5RERE9C8cSQrce34PgRGByO+WH/ObzIcQQnUSERER/Qtvt+lZaloqWq9pjcevH2NL2y3IZJtJdRIRERGlgyNJz8bsHYNd13chrEkYSmUvpTqHiIiI3oO32/Ro29VtGLtvLNp/2R4dvTuqziEiIqL/wJGkJ/HP4tFmTRuUyFYCcxrO4euQiIiIDBxHkh68TX2LlhEt8TrlNSL8I+Bg7aA6iYiIiD6Ar0nSg6E7h+LQrUNY2WIlimQtojqHiIiIMoBXknRs3cV1mHJ4Cnr49EBgyUDVOURERJRBHEk6dO3xNXRY1wFlc5bF1HpTVecQERHRR+BI0pHXKa/hr/GHEAIafw1srWxVJxEREdFH4GuSdKT/1v44fuc41geuRz63fKpziIiI6CPxSpIOrDizAnNj52JghYFoUqSJ6hwiIiL6BBxJWnYh8QKCfg9CZc/KGFdrnOocIiIi+kQcSVr0IvkF/DX+sLe2x6oWq2Btaa06iYiIiD4RX5OkJVJK9NjUA+cTz2Nr263InSm36iQiIiL6DLySpCVhJ8Kw5NQSjKg2AnUK1FGdQ0RERJ+JI0kLTt49iV6beqF2/toYXnW46hwiIiLSAo6kz/T09VP4a/yRxSELln+zHJYWlqqTiIiISAv4mqTPIKVE5w2dcf3xdezpsAfZHLOpTiIiIiIt4Uj6DDOPzETkhUhMrD0RlT0rq84hIiIiLeLttk8UEx+DgdsGonHhxhhQcYDqHCIiItIyjqRP8PDlQ/hr/JE7U24sbrYYFoJPIxERkanh7baPlCbT8O26b3HvxT0c7HQQbvZuqpOIiIhIBziSPtKEAxOw6comzGowCz65fFTnEBERkY588D6RECKPEGK3EOK8EOKcEKKvPsIM0Z4be/Dj7h8RWDIQPb7qoTqHiIiIdCgjV5JSAAyQUh4XQjgDOCaE2C6lPK/jNoNy9/ldtIpshYKZCyK0USiEEKqTiIiISIc+OJKklHcA3Hn390lCiAsAcgMwm5GUmpaK1pGt8fT1U2xruw3Ots6qk4iIiEjHPuo1SUIILwClAcTopMZAjdwzErtv7MbCpgvxRfYvVOcQERGRHmT4vetCCCcAkQCCpZTP0vnvg4QQsUKI2MTERG02KrX5ymb8vP9ndPLuhA7eHVTnEBERkZ4IKeWHHySENYAoAFullFM/9HgfHx8ZGxurhTy1bj29hdK/lkYu51yI7hINB2sH1UlERESkZUKIY1LK//OW9Yy8u00ACANwISMDyVQkpyYjICIAb1LfICIgggOJiIjIzGTkdlslAO0A1BRCnHz319c67lJuyI4hiI6PRliTMBTOUlh1DhEREelZRt7ddgCAWb3ffc2FNZgWPQ29vuqFgBIBqnOIiIhIAf7QsX+5+ugqOq7viK9yfYXJdSerziEiIiJFOJL+5nXKa/hr/GEpLLHafzVsrWxVJxEREZEi/Nltf9N3c1+cuHsCv7f6HV6uXqpziIiISCFeSXpn2ellCD0eisGVBqNR4Uaqc4iIiEgxjiQA5xPPo2tUV1TxrIKfav6kOoeIiIgMgNmPpOfJz+G32g9ONk5Y5bcKVha8A0lERERm/pokKSW6RXXDxQcXsb3dduRyzqU6iYiIiAyEWY+k347/huVnlmN09dGolb+W6hwiIiIyIGZ7u+34nePos7kP6haoix+r/qg6h4iIiAyMWY6kp6+fwl/jj6wOWbGs+TJYCLN8GoiIiOg/mN3tNiklOq7viLgncdjbYS/cHd1VJxEREZEBMruRFBIdgrUX12Jyncmo5FlJdQ4REREZKLO6z3T41mEM2jEITYs0Rf8K/VXnEBERkQEzm5H04OUDBEQEIE+mPFjUbBGEEKqTiIiIyICZxe22NJmGtmva4v6L+zjU6RBc7VxVJxEREZGBM4uRNH7/eGy9uhVzvp6DsrnKqs4hIiIiI2Dyt9t2X9+NEXtGoFXJVujm0011DhERERkJkx5Jd5LuoFVkKxTOUhihjUP5OiQiIiLKMJO93ZaSloJWka3w7M0z7Ph2B5xsnFQnERERkREx2ZE0YvcI7I3bi8XNFqNktpKqc4iIiMjImOTtto2XN2L8gfHoUroLvv3yW9U5REREZIRMbiTFPYlDu7Xt8GX2LzGjwQzVOURERGSkTGokJacmo2VES6SkpUDjr4G9tb3qJCIiIjJSJvWapEHbByHmdgw0/hoUylJIdQ4REREZMZO5khRxPgLTY6ajT7k+8CvupzqHiIiIjJxJjKQrD6+g0/pOKJ+7PCbVnaQ6h4iIiEyA0Y+kV29fwV/jD2tLa6z2Xw0bSxvVSURERGQCjP41SX0298Gpe6cQ1SoKni6eqnOIiIjIRBj1laQlp5Zg/on5GFp5KBoWbqg6h4iIiEzIB0eSEGKBEOK+EOKsPoIy6uz9s+gW1Q3V8lbDmBpjVOcQERGRicnIlaRFAOrruOOjPE9+Dn+NPzLZZsLKFithZWH0dw2JiIjIwHxwXUgp9wkhvPTQkiFSSgT9HoTLDy9jR7sdyOmcU3USERERmSCtvSZJCBEkhIgVQsQmJiZq69P+H6kyFa52rhhTfQxq5Kuhsz+HiIiIzJuQUn74QX9eSYqSUpbMyCf18fGRsbGxn5n236SUEELo9M8gIiIi0yeEOCal9Pn3x4323W0cSERERKRLRjuSiIiIiHQpI0cArARwGEARIUS8EKKz7rOIiIiI1MrIu9ta6SOEiIiIyJDwdhsRERFROjiSiIiIiNLBkURERESUDo4kIiIionRwJBERERGlgyOJiIiIKB0cSURERETp4EgiIiIiSgdHEhEREVE6hJRS+59UiEQAcVr/xP+UFcADHf8Z5oTPp/bxOdU+PqfaxedT+/icape+ns+8Ukr3f39QJyNJH4QQsVJKH9UdpoLPp/bxOdU+PqfaxedT+/icapfq55O324iIiIjSwZFERERElA5jHkmhqgNMDJ9P7eNzqn18TrWLz6f28TnVLqXPp9G+JomIiIhIl4z5ShIRERGRzhjdSBJC1BdCXBJC/CGEGKK6x9gJIRYIIe4LIc6qbjEVQog8QojdQojzQohzQoi+qpuMmRDCTghxRAhx6t3zOVp1kykQQlgKIU4IIaJUt5gCIcQNIcQZIcRJIUSs6h5TIIRwFUJECCEuCiEuCCEq6L3BmG63CSEsAVwGUAdAPICjAFpJKc8rDTNiQoiqAJ4DWCKlLKm6xxQIIXICyCmlPC6EcAZwDEAz/v/00wghBABHKeVzIYQ1gAMA+kopoxWnGTUhRH8APgAySSkbqe4xdkKIGwB8pJQ8I0lLhBCLAeyXUs4XQtgAcJBSPtFng7FdSSoH4A8p5TUpZTKAVQCaKm4yalLKfQAeqe4wJVLKO1LK4+/+PgnABQC51VYZL/mn5+9+af3uL+P57s4ACSE8ADQEMF91C1F6hBAuAKoCCAMAKWWyvgcSYHwjKTeAW3/7dTz4Lx8yYEIILwClAcQoTjFq724NnQRwH8B2KSWfz88TAmAQgDTFHaZEAtgmhDgmhAhSHWMC8gFIBLDw3W3h+UIIR31HGNtIIjIaQggnAJEAgqWUz1T3GDMpZaqU0huAB4ByQgjeGv5EQohGAO5LKY+pbjExlaWUZQA0ANDz3UsZ6NNZASgDYK6UsjSAFwD0/jpkYxtJtwHk+duvPd59jMigvHvtTCSA5VLKNap7TMW7y+27AdRXnGLMKgFo8u41NKsA1BRCLFObZPyklLff/ed9AGvx58tD6NPFA4j/21XjCPw5mvTK2EbSUQCFhBD53r2IKxDABsVNRP/w7oXGYQAuSCmnqu4xdkIIdyGE67u/t8efb9y4qDTKiEkph0opPaSUXvjza+guKWVbxVlGTQjh+O5NGnh3S6guAL5j+DNIKe8CuCWEKPLuQ7UA6P3NL1b6/gM/h5QyRQjRC8BWAJYAFkgpzynOMmpCiJUAqgPIKoSIBzBSShmmtsroVQLQDsCZd6+jAYAfpJSb1CUZtZwAFr97d6sFgNVSSr5tnQxJdgBr//z+CFYAVkgpt6hNMgm9ASx/d1HkGoCO+g4wqiMAiIiIiPTF2G63EREREekFRxIRERFROjiSiIiIiNLBkURERESUDo4kIiIionRwJBERERGlgyOJiIiIKB0cSURERETp+H8gZ8Nt41WEWQAAAABJRU5ErkJggg==\n", 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\n", 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" ] @@ -6359,23 +7844,23 @@ } ], "source": [ - "t = [0, 1, 2, 3, 4, 5, 6] \n", - "y = [1, 4, 5, 8, 9, 5, 3]\n", - "\n", "plt.figure(figsize=(10,6))\n", - "plt.plot(t, y, color='green')\n", + "plt.plot(s1, label='s1')\n", + "plt.plot(s2, label='s2')\n", + "plt.plot(s3, label='s3')\n", + "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 95, - "id": "a6d94984", + "execution_count": 130, + "id": "206f6f5e", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -6388,21 +7873,22 @@ ], "source": [ "plt.figure(figsize=(10,6))\n", - "plt.plot(t, y, color='green', linestyle='dashed')\n", + "plt.boxplot((s1, s2, s3))\n", + "plt.grid()\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 96, - "id": "8cb04e09", + "execution_count": 131, + "id": "b1f1339c", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, "metadata": { @@ -6413,21 +7899,25 @@ ], "source": [ "plt.figure(figsize=(10,6))\n", - "plt.plot(t, y, color='green', linestyle='dashed', marker='o')\n", + "\n", + "plt.subplot(221)\n", + "plt.subplot(222)\n", + "plt.subplot(212)\n", + "\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 97, - "id": "26daeeeb", + "execution_count": 132, + "id": "caf7cae6", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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BI8C5Sc6bTHWbslX6L7APm0X2XzOoVf/VZyLq0xlS2ypTZfTZj9VuZJB8Z9HQfenacHdVfX+ShY2gT7tcBFyU5KdJjiTZN7HqNqfPvnwauD7JCoOr6z4ymdLGbrPfp2nZKv0X2IfNIvuv+TRS/9VnZOt2YKMGvprBUOdeBlNZfKnHZ25ZSa4HFoDPTbuWUSR5FfB54OPTrmVMtjP4t/kO4CDw1STnTrOg03AQuL2qLmAwlP3Nrr2ksbEPmyn2X1vE0B09zSG1zUyVQTaYKmPK+uwHSd4JfALYX1UvTai2zRq2L2cDlwI/TvIbBsekF2f0BNM+7bICLFbVH6vq18CvGHRes6bPvtwI3A1QVT8DXstg3rF50+v7NAO2Sv8F9mGz2IfZf51B/dc4UuVGQ2pbZaqMofuR5HLgKww6qVk9rg5D9qWqTlTVzqraU1V7GJy7sb+qJj2nXR99/n19h8GvQpLsZDAs/8QEa+yrz778DrgKIMlbGXRWxyda5XgsAu/rTkG4EjhRVX+YdlHr2Cr9F9iHzWIfZv91BvVfvW5qmsHlzN+rqkvXee17wN9X1U+65fuBv/nXf9jd5Z3/yOBqhWMMEuGf7dix47yLL764575JkiRNz9GjR58B3gD8E4PTq14APtAnyPearmeIDYfUap2pMgAWFhZqaWnWfmhIkiS9UpLfdiPXH97se8dxGHFeDglIkiRN3NCRrSTfZnDMeGd3yeangFcDVNWXGYxaXQMs0w2ptSpWkiRp3gwNW1V1cMjrIw2pSZIknQnOmHtcSJIkTYNhS5IkqSHDliRJUkOGLUmSpIYMW5IkSQ0ZtiRJkhoybEmSJDVk2JIkSWrIsCVJktSQYUuSJKkhw5YkSVJDhi1JkqSGDFuSJEkNGbYkSZIaMmxJkiQ1ZNiSJElqyLAlSZLUkGFLkiSpIcOWJElSQ4YtSZKkhgxbkiRJDRm2JEmSGjJsSZIkNWTYkiRJasiwJUmS1JBhS5IkqSHDliRJUkO9wlaSfUkeT7Kc5OZ1Xr8hyfEkP+/+Pjj+UiVJkubP9mErJNkG3Aq8C1gBHk6yWFWPrVn1rqq6qUGNkiRJc6vPyNYVwHJVPVFVLwN3AgfaliVJkrQ19Alb5wNPrlpe6Z5b69okx5Lck2T3eh+U5FCSpSRLx48fH6FcSZKk+TKuE+S/C+ypqsuAHwJ3rLdSVR2uqoWqWti1a9eYNi1JkjS7+oStp4DVI1UXdM/9SVU9W1UvdYtfA94+nvIkSZLmW5+w9TCwN8mFSc4CrgMWV6+Q5LxVi/uBX46vREmSpPk19GrEqjqZ5CbgPmAbcFtVPZrkFmCpqhaBjybZD5wEngNuaFizJEnS3EhVTWXDCwsLtbS0NJVtS5IkbUaSo1W1MMp7vYO8JElSQ4YtSZKkhgxbkiRJDRm2JEmSGjJsSZIkNWTYkiRJasiwJUmS1JBhS5IkqSHDliRJUkOGLUmSpIYMW5IkSQ0ZtiRJkhoybEmSJDVk2JIkSWrIsCVJktSQYUuSJKkhw5YkSVJDhi1JkqSGDFuSJEkNGbYkSZIaMmxJkiQ1ZNiSJElqyLAlSZLUkGFLkiSpIcOWJElSQ4YtSZKkhnqFrST7kjyeZDnJzeu8/pokd3WvP5Rkz9grlSRJmkNDw1aSbcCtwNXAJcDBJJesWe1G4PmqejPwBeCz4y5UkiRpHvUZ2boCWK6qJ6rqZeBO4MCadQ4Ad3SP7wGuSpLxlSlJkjSf+oSt84EnVy2vdM+tu05VnQROAK8fR4GSJEnzbPskN5bkEHCoW3wpyS8muX2N1U7gmWkXoZHYdvPN9ptftt18e8uob+wTtp4Cdq9avqB7br11VpJsB84Bnl37QVV1GDgMkGSpqhZGKVrTZ/vNL9tuvtl+88u2m29JlkZ9b5/DiA8De5NcmOQs4Dpgcc06i8D7u8fvBn5UVTVqUZIkSVvF0JGtqjqZ5CbgPmAbcFtVPZrkFmCpqhaBrwPfTLIMPMcgkEmSJJ3xep2zVVX3Aveuee6Tqx6/CLxnk9s+vMn1NVtsv/ll2803229+2XbzbeT2i0f7JEmS2nG6HkmSpIaahy2n+plfPdruY0keS3Isyf1J3jSNOrW+Ye23ar1rk1QSr5KaIX3aL8l7u+/go0m+Nekatb4efecbkzyQ5JGu/7xmGnXqlZLcluTpU92aKgNf7Nr2WJK39fncpmHLqX7mV8+2ewRYqKrLGMwc8A+TrVKn0rP9SHI28FfAQ5OtUBvp035J9gJ/C/xFVf058NeTrlOv1PO793fA3VV1OYMLyv55slVqA7cD+zZ4/Wpgb/d3CPhSnw9tPbLlVD/za2jbVdUDVfVCt3iEwT3YNBv6fPcAPsPgB86LkyxOQ/Vpvw8Bt1bV8wBV9fSEa9T6+rRdAa/rHp8D/H6C9WkDVfUgg7sqnMoB4Bs1cAQ4N8l5wz63z0TUpzOk5lQ/86tP2612I/CDphVpM4a2X/dd3V1V359kYeqlz/fvIuCiJD9NciTJRr/GNTl92u7TwPVJVhhc6f+RyZSmMdjs/41Av5Gt22kwpKatI8n1wALwuWnXon6SvAr4PPDxadeikW1n0O++AzgIfDXJudMsSL0dBG6vqguAaxjcp9IL1rawoY17mkNqm5nqh42m+tHE9Wk7krwT+ASwv6pemlBtGm5Y+50NXAr8OMlvgCuBRU+Snxl9vn8rwGJV/bGqfg38ikH40nT1absbgbsBqupnwGsZzJuo2dfr/8a1xpGkNxpSc6qf+TW07ZJcDnyFQdDyfJHZsmH7VdWJqtpZVXuqag+Dc+72V9XIc39prPr0nd9hMKpFkp0MDis+McEatb4+bfc74CqAJG9lELaOT7RKjWoReF93CtWVwImq+sOwN/W6qWl3O4bvVdWl67z2PeDvq+on3fL9wN/8a6fdXdL6jwym+jnGIBH+2Y4dO867+OKLe+6bJEnS9Bw9evQZ4A3APzE4veoF4AN9fqT2mq5niA2H1Nab6gdgYWGhlpb8ES1JkmZfkt92R94+vNn3juMw4khDapIkSWeCoSNbSb7N4LyAnd1lqp8CXg1QVV9mMGp1DbBMN6TWqlhJkqR5MzRsVdXBIa+PNKQmSZJ0JvC+HpIkSQ0ZtiRJkhoybEmSJDVk2JIkSWrIsCVJktSQYUuSJKkhw5YkSVJDhi1JkqSGDFuSJEkNGbYkSZIaMmxJkiQ1ZNiSJElqyLAlSZLUkGFLkiSpIcOWJElSQ4YtSZKkhgxbkiRJDRm2JEmSGjJsSZIkNWTYkiRJasiwJUmS1JBhS5IkqSHDliRJUkOGLUmSpIYMW5IkSQ0ZtiRJkhoybEmSJDXUK2wl2Zfk8STLSW5e5/UbkhxP8vPu74PjL1WSJGn+bB+2QpJtwK3Au4AV4OEki1X12JpV76qqmxrUKEmSNLf6jGxdASxX1RNV9TJwJ3CgbVmSJElbQ5+wdT7w5Krlle65ta5NcizJPUl2r/dBSQ4lWUqydPz48RHKlSRJmi/jOkH+u8CeqroM+CFwx3orVdXhqlqoqoVdu3aNadOSJEmzq0/YegpYPVJ1Qffcn1TVs1X1Urf4NeDt4ylPkiRpvvUJWw8De5NcmOQs4DpgcfUKSc5btbgf+OX4SpQkSZpfQ69GrKqTSW4C7gO2AbdV1aNJbgGWqmoR+GiS/cBJ4DnghoY1S5IkzY1U1VQ2vLCwUEtLS1PZtiRJ0mYkOVpVC6O81zvIS5IkNWTYkiRJasiwJUmS1JBhS5IkqSHDliRJUkOGLUmSpIYMW5IkSQ0ZtiRJkhoybEmSJDVk2JIkSWrIsCVJktSQYUuSJKkhw5YkSVJDhi1JkqSGDFuSJEkNGbYkSZIaMmxJkiQ1ZNiSJElqyLAlSZLUkGFLkiSpIcOWJElSQ4YtSZKkhgxbkiRJDRm2JEmSGjJsSZIkNWTYkiRJaqhX2EqyL8njSZaT3LzO669Jclf3+kNJ9oy9UkmSpDk0NGwl2QbcClwNXAIcTHLJmtVuBJ6vqjcDXwA+O+5CJUmS5lGfka0rgOWqeqKqXgbuBA6sWecAcEf3+B7gqiQZX5mSJEnzqU/YOh94ctXySvfcuutU1UngBPD6cRQoSZI0z7ZPcmNJDgGHusWXkvxiktvXWO0Enpl2ERqJbTffbL/5ZdvNt7eM+sY+YespYPeq5Qu659ZbZyXJduAc4Nm1H1RVh4HDAEmWqmphlKI1fbbf/LLt5pvtN79su/mWZGnU9/Y5jPgwsDfJhUnOAq4DFtesswi8v3v8buBHVVWjFiVJkrRVDB3ZqqqTSW4C7gO2AbdV1aNJbgGWqmoR+DrwzSTLwHMMApkkSdIZr9c5W1V1L3Dvmuc+uerxi8B7Nrntw5tcX7PF9ptftt18s/3ml20330Zuv3i0T5IkqR2n65EkSWqoedhyqp/51aPtPpbksSTHktyf5E3TqFPrG9Z+q9a7Nkkl8SqpGdKn/ZK8t/sOPprkW5OuUevr0Xe+MckDSR7p+s9rplGnXinJbUmePtWtqTLwxa5tjyV5W5/PbRq2nOpnfvVsu0eAhaq6jMHMAf8w2Sp1Kj3bjyRnA38FPDTZCrWRPu2XZC/wt8BfVNWfA3896Tr1Sj2/e38H3F1VlzO4oOyfJ1ulNnA7sG+D168G9nZ/h4Av9fnQ1iNbTvUzv4a2XVU9UFUvdItHGNyDTbOhz3cP4DMMfuC8OMniNFSf9vsQcGtVPQ9QVU9PuEatr0/bFfC67vE5wO8nWJ82UFUPMrirwqkcAL5RA0eAc5OcN+xzW4ctp/qZX33abrUbgR80rUibMbT9uuHv3VX1/UkWpl76fP8uAi5K8tMkR5Js9Gtck9On7T4NXJ9khcGV/h+ZTGkag83+3whMeLoebU1JrgcWgP887VrUT5JXAZ8HbphyKRrddgaHMt7BYFT5wST/oar+zzSLUi8Hgdur6n8m+Y8M7lN5aVX9v2kXpjZaj2xtZqofNprqRxPXp+1I8k7gE8D+qnppQrVpuGHtdzZwKfDjJL8BrgQWPUl+ZvT5/q0Ai1X1x6r6NfArBuFL09Wn7W4E7gaoqp8Br2Uwb6JmX6//G9dqHbac6md+DW27JJcDX2EQtDxfZLZs2H5VdaKqdlbVnqraw+Ccu/1VNfLcXxqrPn3ndxiMapFkJ4PDik9MsEatr0/b/Q64CiDJWxmEreMTrVKjWgTe112VeCVwoqr+MOxNTQ8jOtXP/OrZdp8D/i3wL901Db+rqv1TK1p/0rP9NKN6tt99wH9N8hjwf4H/UVUeFZiynm33ceCrSf47g5Plb3CQYTYk+TaDHzE7u3PqPgW8GqCqvszgHLtrgGXgBeADvT7X9pUkSWrHO8hLkiQ1ZNiSJElqyLAlSZLUkGFLkiSpIcOWJElSQ4YtSZKkhgxbkiRJDRm2JEmSGvr/3CgRrRVSIbAAAAAASUVORK5CYII=\n", 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" + "
" ] }, "metadata": { @@ -6438,22 +7928,27 @@ ], "source": [ "plt.figure(figsize=(10,6))\n", - "plt.plot(t, y, color='green', linestyle='dashed', marker='o',\n", - " markerfacecolor = 'blue')\n", + "\n", + "plt.subplot(411)\n", + "plt.subplot(423)\n", + "plt.subplot(424)\n", + "plt.subplot(413)\n", + "plt.subplot(414)\n", + "\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 98, - "id": "ff9d8887", + "execution_count": 133, + "id": "206188c0", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": { @@ -6463,37 +7958,193 @@ } ], "source": [ - "plt.figure(figsize=(10,6))\n", - "plt.plot(t, y, color='green', linestyle='dashed', marker='o',\n", - " markerfacecolor = 'blue', markersize=12)\n", + "t = np.arange(0,5,0.01)\n", + "\n", + "plt.figure(figsize=(10,12))\n", + "\n", + "plt.subplot(411)\n", + "plt.plot(t,np.sqrt(t))\n", + "plt.grid()\n", + "\n", + "plt.subplot(423)\n", + "plt.plot(t,t**2)\n", + "plt.grid()\n", + "\n", + "plt.subplot(424)\n", + "plt.plot(t,t**3)\n", + "plt.grid()\n", + "\n", + "plt.subplot(413)\n", + "plt.plot(t,np.sin(t))\n", + "plt.grid()\n", + "\n", + "plt.subplot(414)\n", + "plt.plot(t,np.cos(t))\n", + "plt.grid()\n", "\n", - "plt.xlim([-0.5, 6.5])\n", - "plt.ylim([0.5, 9.5])\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 99, - "id": "5f65574d", + "execution_count": 134, + "id": "cbc5df04", "metadata": {}, "outputs": [], "source": [ - "t = np.array([0,1,2,3,4,5,6,7,8,9])\n", - "y = np.array([9,8,7,9,8,3,2,4,3,4])" + "import platform\n", + "\n", + "from matplotlib import font_manager, rc\n", + "plt.rcParams['axes.unicode_minus'] = False\n", + "\n", + "if platform.system() == 'Darwin':\n", + " rc('font', family='AppleGothic')\n", + "elif platform.system() == 'Windows':\n", + " path = \"c:/Windows/Fonts/malgun.ttf\"\n", + " font_name = font_manager.FontProperties(fname=path).get_name()\n", + " rc('font', family=font_name)\n", + "else:\n", + " print('Unknown system... sorry~~~~') " + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "id": "751bdd5f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율
구별
종로구177216.5789471537891446839106278185.92110018.088420
용산구238363.33104923728522295314332390706.03999416.465432
성동구360228.5051732926722859906682463802.28310215.847092
광진구258855.06291235262733999612631517233.58197214.667907
동대문구249724.72527535200633740014606622114.14936117.673278
\n", + "
" + ], + "text/plain": [ + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n", + "구별 \n", + "종로구 1772 16.578947 153789 144683 9106 27818 5.921100 18.088420\n", + "용산구 2383 63.331049 237285 222953 14332 39070 6.039994 16.465432\n", + "성동구 3602 28.505173 292672 285990 6682 46380 2.283102 15.847092\n", + "광진구 2588 55.062912 352627 339996 12631 51723 3.581972 14.667907\n", + "동대문구 2497 24.725275 352006 337400 14606 62211 4.149361 17.673278" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_result.head()" ] }, { "cell_type": "code", - "execution_count": 100, - "id": "ed016dc0", + "execution_count": 139, + "id": "ba31f8e7", "metadata": {}, "outputs": [ { "data": { - "image/png": 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Ji4i/A+7paB7PzGcX21tF2yBwN3BvZl4F/DLwPzrGOgT0d4x1MbA2MyfKnbkkSVL91CbkAfdk5tBsGzNzKCL6gM+drl/Rd1tnW0SMAJOLnKMkSVJPqNPp2hURcWdEfCIi/qL4/c6IuKCtz07gUES8vH3HiGhFxPPPdIDMzLInLUmSVEe1WcnLzB8DiIirgXMy8+aZbRFxHrAL+KfMvD4idkbEfqZDH2da2StMlT1nSZKkuoqqF7ci4hnAS9qaVgDBQ0PZO5heiPvztv2+JzP/MSJ+KzN/rWi7DNjdtt964CRwoq1tb2Ye7pjDDmAHwMDA6i179h9Y/Bdb5tb0wX3jVc+i9y11HQfXXbh0g9fI2NgY/f2dl+lqPqxhOaxjOazjKcPDw0czc2u3bZWHvBkRsQ54BfCUoulzwFsy8962Pq1u+862khcR1wLHOkPd6WzYtDlXXHnDXLtrFjsHJ9l3d20WinvWUtdxuTxCpdVqMTQ0VPU0epo1LId1LId1PCUiZg15dfqv8HuA1wCvKz4/A7gVeOZMh25hLiLmHOAkSZKWi1rceBERK4HzgKOZ+UBmPgB8Gjg3IlZVOztJkqTeU4uVvMyciojdwPsion3Ta+fwXLvPL93MJEmSelMtQh5AZt4B3LGA/X71NJsPAvN6+HHfqpUcXybXKS2lVqvF6FVDVU+j51lHSdJC1SbkLYXMHKt6DpIkSVWoxTV5kiRJKpchT5IkqYEMeZIkSQ1kyJMkSWogQ54kSVIDGfIkSZIayJAnSZLUQIY8SZKkBjLkSZIkNZAhT5IkqYEqea1ZRDwSeERm3lvF8U9nfGKKjbtGqp5Gz9s5OMl267ho1rEcy7mOo76LW1q2ljTkRcQjgBuBNcAG4FvA14FHAe8Fri/6HQe+2LH7NzLzhW1jvQB4+SyHeltm3trW9xDQ39HnYmBtZk4s9PtIkiT1iqVeyXstcEtm/o+IOA/4CHAtMABc0tbvi5l56ekGysw/iYgPA8/KzHcDRMSLgA9l5omOvts694+IEWByEd9FkiSpZyz1NXkbgT8DyMx/AT4OdFtJWx0RrS4/Kzv6rQKe2/b5CuDcuU4mM3Nes5ckSepRS72S93vA6yPiTcD3As9k+rTpo4D3RsT5wEXAs2bZf3VEfCMzx4vP9/PQ07D9RdtcTM1z7pIkST0rlnpxKyKeClwGfBW4NTPHI+JHgR8BPgi8+AxD3JqZRyPiGuBngEcCUfw8CHwTuC0z3xIRlwG72/ZdD5wE2k/n7s3Mwx1z3AHsABgYWL1lz/4DC/uy+o41fXDf+Jn76fSsYzmWcx0H111YyjhjY2P093de6qz5so7lsI6nDA8PH83Mrd22LXnIA4iIVwDPA5LpU8SfBfZk5sli+zqmb6p4crHLXwH/bba7byPiauCczLz5DMe9FjjWGepOZ8Omzbniyhvm2l2z2Dk4yb67K7l5u1GsYzmWcx3Luru21WoxNDRUyljLmXUsh3U8JSJmDXlL/py8iLgS2Aw8OzN/srjB4rPAG9u63Qp8CLiq+DkC3LbUc5MkSWqqs/G/tn3ANzOz/c7WE0U7xc0V5wKfbFvZuwtYFRGrMnOiy2lYin7b2z4+7DSsJEnScnU2Qt4fAHsiogU8AKxk+pl4vwqQmVMR8WrgUERE2367Z55pl5lHmF7dkyRJ0hwsecjLzAeB3zxDn6UKcQfp/sgWSZKkRmv0lciZOTbfffpWreS4rwFatFarxehVQ1VPo+dZx3JYR0nL0ZLfeCFJkqSzz5AnSZLUQIY8SZKkBjLkSZIkNZAhT5IkqYEMeZIkSQ1kyJMkSWogQ54kSVIDGfIkSZIayJAnSZLUQD33WrOI+L3M/MW2z/8GOC8zby1j/PGJKTbuGiljqGVt5+Ak263jolVVx1Ff7SdJPa82IS8i3gM8uqP5CZn5uGL7AeBRwCURcVux/Rrgu4DzO8Y6BPR3jHUxsDYzJ0qeuiRJUu3UJuRl5pWdbW1hDuCVTJ9eHgG2F233zzLWti5jjQCTi52nJElSL6j7NXnfmV9mngS+DXwfsB54FnA7sGuug2Vmlj1BSZKkOqp8JS8iLgN2z7L5eyKiBezNzMPATuC/A/uAF2bmH0fEi+k4XTuLqTLmK0mS1AsqD3mZeQQ4cro+EbEqIn4D+N7M3BERzwI+EBG/1NGvMzCuB04CJ4rtLU4FRkmSpMaKupzBjIjPAl/raF6fmU+KiHOAFwPvByYy8/6IeEzR/0rg/My8ucuY1wLHzhTqImIHsANgYGD1lj37Dyzy22hNH9w3XvUsel9VdRxcd+HZP+gSGhsbo7+/814szYc1LId1LId1PGV4ePhoZm7ttq3ylbw2X8vMS9sbIuIwQGZOAn8YES9jOtjdlplfKbrdstgDZ+ZNwE0AGzZtzn1316ksvWnn4CTWcfGqquPoVUNn/ZhLqdVqMTQ0VPU0epo1LId1LId1nJu633ghSZKkBajTUsuG4pq5dpu69NtTrOi1uyMz37Q005IkSeo9tQl5mfmv59DnRuDGeQx7EPDhx5IkadmpTchbCpk5VvUcJEmSqtDokLcQfatWctz3di5aq9Vq3MX7VbCOkqSF8sYLSZKkBjLkSZIkNZAhT5IkqYEMeZIkSQ1kyJMkSWogQ54kSVIDGfIkSZIayJAnSZLUQIY8SZKkBjLkSZIkNZCvNeswPjHFxl0jVU+j5+0cnGS7dVw061gO67h4s9Vw1NdASrVVm5AXEYeA/o7mi4G1mTkREauA27vs+jTguzNzcq5jlTVnSZKkuqpNyMvMbZ1tETECTBbbJ4BLu/Q5PN+xJEmSmq42IW82mZkAEdEHjAAPdnR5KpDzGUuSJKnp6h7yptp+XwmczMwrShhLkiSp0SoPeRFxGbC7rWk9cBI4UWxvAXuBjwE/HBF3dhlmV2beNdexMvNhp3glSZKaJOp2BjMirgWOnS6IRcTVwDmZefNixyr67QB2AAwMrN6yZ/+Bec5andb0wX3jVc+i91nHcljHxZuthoPrLjz7k+lhY2Nj9Pd33heo+bKOpwwPDx/NzK3dtlW+klcHmXkTcBPAhk2bc9/dlmWxdg5OYh0XzzqWwzou3mw1HL1q6OxPpoe1Wi2GhoaqnkbPs45z0xP/1utyGnamfXvbR0/DSpIkFXoi5GXmEeBI1fOQJEnqFXUMeQeBsh5YXOZYkiRJPaN2IS8zx6ocq2/VSo77mp5Fa7VaXqtTAutYDuu4eNZQ6j0rqp6AJEmSymfIkyRJaiBDniRJUgMZ8iRJkhrIkCdJktRAhjxJkqQGMuRJkiQ1kCFPkiSpgQx5kiRJDWTIkyRJaiBDniRJUgPV7t217SLipZn5tjP0WQd8T2beVcYxxyem2LhrpIyhlrWdg5Nst46L1qt1HPX9z5JUuVqs5EXEGyPizuLneES8pNj0/C59D3c0PQG4vKPPobbxZn6+GhGrlugrSJIk1UotVvIy89Uzv0fELcAdp+l+7hzG29bZFhEjwORC5idJktRrarGSNyMiXgDck5lfbGv7WNFORASwNSLOjYhLIuI3ge1zHT8zs+QpS5Ik1VItVvIiYgXwSuCxwHXt2zLzkraPlwFfYvo07oeAfwZ+CFg3h8NMlTFXSZKkXhBVL25FxEXAO4F3ZOZtHdvempm/XPx+DvA+4GXAO4AXZOY3I2IIuCQzr4+Iy4DdbUOsB04CJ9ra9mbmQ67ri4gdwA6AgYHVW/bsP1DeF1ym1vTBfeNVz6L39WodB9ddWPUUHmJsbIz+/v6qp9HTrGE5rGM5rOMpw8PDRzNza7dtla/kZeY/A8+JiKdFxPs5dc3dCmAffCfg3QgcyMwvRsSrgdsi4uqOsY4AR2Y+R8S1wLHOUNdlDjcBNwFs2LQ5991deVl63s7BSazj4vVqHUevGqp6Cg/RarUYGhqqeho9zRqWwzqWwzrOTZ3+63Ej8MLMvBcgIvqBD0bEXwD9wJ2ZeQggMz8VEa8BvMZOkiSpizqFvOShoW3m98zMe4B7HtK5eC7e9L0YkiRJalenkHcNcKDtWXYrgTdk5tcrnJMkSVJPqk3Iy8zPAvN+TH5mtoDWLJsPAhMLnpQkSVKPqk3IWwqZOTbfffpWreS4r2RatFarVbuL73uRdZQkLVStHoYsSZKkchjyJEmSGsiQJ0mS1ECGPEmSpAYy5EmSJDWQIU+SJKmBDHmSJEkNZMiTJElqIEOeJElSAxnyJEmSGqi2rzWLiC2ZebRL++9l5i+2ff43wHmZeWsZxx2fmGLjrpEyhlrWdg5Ost06Lpp1LMfZqOOor0OUVDOVh7yI+BHgPwFTwBiwIzO/ArwBuLyt3wHgUcAlEXFb0XwN8F3A+R1jHgL6Ow51MbA2MyeW4GtIkiTVSuUhD3gT8LzM/KeI+FHgPwAvA4iIO4Hfycz3Aa9k+vTyCLC92Pf+bgNm5rbOtogYASbLnrwkSVId1eGavJOZ+U/F758FBmY2ZOalRcAjM08C3wa+D1gPPAu4Hdg11wNlZpY0Z0mSpFqrQ8j7QES8PiJ+Cvgd4M0zGyLizoh4XlvfncB/B/YBI5l5ObB3jseZKmvCkiRJdVf56drM3B8RG4HHA6/KzBPFpvtmbrCIiFXAq4DvzcwdEfEspsPhL7WPFRGXAbvbmtYDJ4ETxfYWsDczDy/hV5IkSapc1OEMZkQ8Efgtpm+iiOLnv2Tm7cX2c4AXA+8HJjLz/oh4DPA14Erg/My8ucu41wLHzhTqImIHsANgYGD1lj37D5T0zZavNX1w33jVs+h91rEcZ6OOg+suXNoDVGxsbIz+/s772TRf1rEc1vGU4eHho5m5tdu2uoS8DwMvy8y/Lj73Ax8Ghopr8Wb6vQz4Wmbe1n2kh417LXMIee02bNqcK668YT7TVxc7ByfZd3flC8U9zzqW42zUsemPUGm1WgwNDVU9jZ5nHcthHU+JiFlDXh2uyQNI4MGqJyFJktQUdVkieDnw2xFxQfE5gNe1r+K12VOs6LW7IzPftKQzlCRJ6iG1CHmZeRx47hz63QjcOI+hDwI+/FiSJC07tQh5SyUzx6qegyRJUhUaHfIWom/VSo43/ALqs6HVajF61VDV0+h51rEc1lHSclSXGy8kSZJUIkOeJElSAxnyJEmSGsiQJ0mS1ECGPEmSpAYy5EmSJDWQIU+SJKmBDHmSJEkNZMiTJElqIEOeJElSA/lasw7jE1Ns3DVS9TR63s7BSbZbx0WrSx1HfdWfJPWcWq/kRcTzqp6DJElSL6rFSl5EfBh4sK1pMjMvB34FeF/R5wXAy2cZ4m2ZeWvbeIeA/o4+FwNrM3OirHlLkiTVVS1CHvBgZl468yEiDnd2yMw/KcLgszLz3UW/FwEfyswTHX23de4fESPAZNkTlyRJqqNan67tYhXw3LbPVwDnznXnzMzSZyRJklRDdQ95KyLitoh4WfH5fh56Gra/aJuLqVJnJkmSVGNRh8WtiLiz83RtZl7e3h4R1wA/AzwSiOLnQeCbwG2Z+ZaIuAzY3Tb0euAk0H46d29mPuR0cETsAHYADAys3rJn/4HSv+Nys6YP7huveha9ry51HFx3YdVTWJSxsTH6+zsv09V8WMNyWMdyWMdThoeHj2bm1m7b6hLyPgx8uq3p+ztDXkf/q4FzMvPmM4x7LXCsM9SdzoZNm3PFlTfMtbtmsXNwkn131+WSz95Vlzr2+iNUWq0WQ0NDVU+jp1nDcljHcljHUyJi1pBX/X89pv0ccH7b5xqsXUiSJPWuWoS8zPzy6bZ3OQ0707697ePDTsNKkiQtV7OGvIjYDXSeyz0MXA6Qmf8pIt6Umdct4fwojnUEOLLUx5EkSWqK063kfQx4PLAZeCzwduDpwATw08B/ArqeAy5Lt+vx5ukg0/Ods75VKzne49cf1UGr1WL0qqGqp9HzrKMkaaFmDXmZ+ZGI+CrTIenB4vOTgL8CvnG2JrgYmTlW9RwkSZKqcKZr8t4MfC8wGhFvBo4t/ZQkSZK0WKd9GHLx/thDmXkZ3R8mXP3zVyRJkvQwc3njRbcgFxHxGuBxJc9HkiRJJTjt6dqI+BngiRFxZdH3T4EHgC8CjwI+vuQzlCRJ0ryd6Zq884E/AfqAd7c9z+7E7LtIkiSpaqcNeZn5e+2fI+InM/ODSzslSZIkLdZpr8mLiJUdTbuWcC6SJEkqyZlO1/5DRHyy+P3BpZ6MJEmSynGmkPeXmfncmQ8R8eElno8kSZJKcKaQ1/n4lH8VET/Z0fZnmTmvV4dJkiRpaZ0p5HX6LuBJQBSfk+l33M4r5EXEOuB7MvOu0/S5AHhGZn5onnNclPGJKTbuGjmbh2yknYOTbLeOi2Yd52/Ud09LEjD/kPelzPyv8z1IRBwu3p4x4wnAJcBdEXG4bR4nMvPKou0lwM8DH2ob5zjwjx3Dr8/MzR3HOwT0d/S7GFjrqqMkSVoOzhTy7u/4vNDXmJ17uo2Zeekcx/m/HWGRIhB2jretsy0iRoDJOR5HkiSpp53pOXnP72iKrh1PIyIC2BoR5wJPBy4FNgJ/O9+xgI0RcWdH25xfrZaZvmtXkiQtC/M9XfuGBRzjMuBLwPOZPvX6z8APAetOs88PAAeBL7c3ZuaTFnD8GVOL2FeSJKmnxFIubkXEOcD7gJcB7wBekJnfjIgh4JLMvL7L9XpExB3ADuD1mbk9Ii4Ddrd1Wcn0g5zbr6/by3SQa++3HjjJQ1/DtjczH3KKNyJ2FMdjYGD1lj37DyzwG2vGmj64b7zqWfQ+6zh/g+sufFjb2NgY/f2dl+lqPqxhOaxjOazjKcPDw0czc2u3bfNdyZuzIuDdCBzIzC9GxKuB2yLi6i59NzMd3C4A/o7pa/++s/KWmUeAI239rwA2ZuZbuhy6vd+1wLHOUNcpM28CbgLYsGlz7rt7ycqybOwcnMQ6Lp51nL/Rq4Ye1tZqtRgaeni75s4alsM6lsM6zs1pX2u2SGuBOzPzEEBmfgp4DQ+/eeO9wDXALwLPAh4524AR8Z7i13FgrOT5SpIkNcaSLRFk5j3APR1tdwFM34vxnba3de7bvr3Do4t9zuqz8yRJknpNr50HurjL3bUAv5CZ/3DWZyNJklRTlYS8zGwBrdNsn7kRY3tH++p5Huog83wbhyRJUhP02krevGTmvK/b61u1kuO+FmnRWq1W1wvgNT/WUZK0UEt544UkSZIqYsiTJElqIEOeJElSAxnyJEmSGsiQJ0mS1ECGPEmSpAYy5EmSJDWQIU+SJKmBDHmSJEkNZMiTJElqoEa/1mwhxiem2LhrpOpp9Lydg5Nst46LZh3LsdzrOOqrGqVlqedX8iLicRFxSdXzkCRJqpParORFxI8A/4Hp4BnAg8BvZubHiu37gIs7dru++PMS4GNtYx0C+jv6XgyszcyJ0icvSZJUM7UJecCbgedl5lcAIuIxwAeArQCZuTMibs/MZ0fEduBbwMuB7wXe2z5QZm7rHDwiRoDJpfwCkiRJdVGn07UfB54bEZsiYhNwRdHWbqr48zxgPDOvBHbO9QCZmaXMVJIkqeZqs5KXmb8WEVuB4aLpLzPz7R3dHiz+PB/4dkS8hy4rebOYOnMXSZKkZoiqF7ci4jJg9xm67QV+EHgK8HlgHfBN4DPAl4FLMvP6LmOtB04CJ9rHyszDHXPYAewAGBhYvWXP/gML/0ICYE0f3Dde9Sx6n3Usx3Kv4+C6Cxc9xtjYGP39nZc6a76sYzms4ynDw8NHM3Nrt22Vh7z5iohtwAuBxwBfBz4IvCszv92l77XAsc5QdzobNm3OFVfeUM5kl7Gdg5Psu7s2C8U9yzqWY7nXsYxHqLRaLYaGhhY/mWXOOpbDOp4SEbOGvNpck1fcPXumPi8AXgT8f0xfs/erwPcB1yzt7CRJknpLbUIesGUOfdYCd2XmaGZOZOY/Ah9l+vStJEmSCnU6f7EhIlpd2q/KzHuL328C9kbEh5i+kSKAvwdedXamKEmS1BtqE/Iyc9Mc+jzA/ALdQcCHH0uSpGWnNiFvKWTm2Hz36Vu1kuO+53HRWq0Wo1cNVT2Nnmcdy2EdJS1HdbomT5IkSSUx5EmSJDWQIU+SJKmBDHmSJEkNZMiTJElqIEOeJElSAxnyJEmSGsiQJ0mS1ECGPEmSpAYy5EmSJDVQo19rthDjE1Ns3DVS9TR63s7BSbZbx0WrSx1HfdWfJPWcnl/Ji4h1EfHMquchSZJUJ7VZyYuIw5l5+Rn6vA74f4FJ4MvAvwceD1wK/Hlbv0NAf8fuFwNrM3OixGlLkiTVUm1C3plExPcBT8jMHy8+vxy4Cvh8Z9/M3NZl/xGmw6EkSVLj9dLp2r8HHhkRz4mIH2N6Re9/zWeAzMwlmZkkSVLN1Gklb0tEtLq0vyQz/zYzT0bEi4CfANYBrwHGgUfPcfypcqYpSZJUf1G3xa2IuBo4JzNvbms7D7iR6aD2aOC7gT8DxoDPAM/IzN+MiMuA3W3DrQdOAifa2vZm5uGOY+4AdgAMDKzesmf/gbK/1rKzpg/uG696Fr2vLnUcXHdh1VNYlLGxMfr7Oy/T1XxYw3JYx3JYx1OGh4ePZubWbtvqtJI3q8z8F+CXACLiGcDlwLuAVwE/DHy26HcEODKzX0RcCxzrDHVdxr8JuAlgw6bNue/unihLre0cnMQ6Ll5d6jh61VDVU1iUVqvF0NBQ1dPoadawHNaxHNZxbnrpmjwi4i3Ag8AngS8B+4H3VDknSZKkOqp8iaDLKdaZ9u1tH2dOsV4E3JOZnyzajxU/kiRJalN5yOs8xToH74mIBzraPp2Zv17itCRJknpa5SFvPjLz6nnuchCY18OP+1at5LivcFq0VqvV89dx1YF1lCQtVE+FvPnKzLGq5yBJklSFnrrxQpIkSXNjyJMkSWogQ54kSVIDGfIkSZIayJAnSZLUQIY8SZKkBjLkSZIkNZAhT5IkqYEMeZIkSQ1kyJMkSWqgRr/WbCHGJ6bYuGuk6mn0vJ2Dk2xvSB1HfZexJKkH1SbkRcRfA//Q0fzVzHxRW58jwM939PnDzLy0Y6xDQH9Hv4uBtZk5Uc6MJUmS6qs2IQ+4pzOsdfEI4Kc72h7Z2Skzt3W2RcQIMLng2UmSJPWQOoW8uXgEsK2j7WEhbzaZmaXORpIkqaZ6IuRFxArgXGBL0fSzTM/9D4rt5wMTmTl1mmFOt02SJKlRoi6LWxFxK7AaWAME8OVi07OBQeDfnmGI32P6OrzdbW3rgZPAiba2vZl5uOPYO4AdAAMDq7fs2X9ggd9CM9b0wX3jVc+iHIPrLqzs2GNjY/T3d15eqvmyjotnDcthHcthHU8ZHh4+mplbu22rTcibERFXA+dk5s1dtq0FXgE8uWj6K+Atmdl5w8ZM/2uBY52h7nQ2bNqcK668Yb7TVoedg5Psu7snForPqMq7a1utFkNDQ5Udvyms4+JZw3JYx3JYx1MiYtaQ12vPybsFOML06dqfBT4IvLvSGUmSJNVQ5UstEXEZDz3FOtO+ve3jzCnWPuCTmTle9PkkcH5EhDdVSJIknVJ5yMvMI0yvzs3Fa4D3RsRMoAtgtwFPkiTpoSoPefMxz0AIcBDw4ceSJGnZ6amQN1+ZOTbfffpWreS4r7FatFarxehVQ1VPQ5KkZavXbryQJEnSHBjyJEmSGsiQJ0mS1ECGPEmSpAYy5EmSJDWQIU+SJKmBDHmSJEkNZMiTJElqIEOeJElSAxnyJEmSGqjRrzVbiPGJKTbuGql6Gj1v5+Ak263jotW1jqO++k+Saq/WK3kR8dKq5yBJktSLahHyIuKNEXFn8XM8Il5SbHp+R787u+x7uEvbobbxZn6+GhGrlugrSJIk1UotTtdm5qtnfo+IW4A7Zum6sUvQe1yX8bZ1tkXECDC5iGlKkiT1jFqEvBkR8QLgnsz8Ylvbx4A3Z+afAN8AbunYbcdcx8/MLGWikiRJNVeLkBcRK4BXAo8FrmvflpmXtH38OaDzlOtH53iYqQVPUJIkqcdE1YtbEXER8E7gHZl5W8e2t2bmL0fEZcDutk1rgAC+3Na2l+kg195vPXASONHeLzMfch1fROygWBEcGFi9Zc/+A4v6ToI1fXDfeNWz6H11rePgugurnsK8jI2N0d/fX/U0epo1LId1LId1PGV4ePhoZm7ttq3ykDcjIp4GXA+cWzStAPZl5u1d+l4NnJOZN59hzGuBY52h7nQ2bNqcK668Ya7dNYudg5Psu7sWC8U9ra517LVHqLRaLYaGhqqeRk+zhuWwjuWwjqdExKwhr07/9bgReGFm3gsQEf3AByPiLzLzRESsBm5t3yEitgNPyMx1Z322kiRJNVankJfFT/vn7/yZmV8Fhjp36vYIFUmSpOWuTiHvGuBA27PsVgJvyMyvVzgnSZKknlSbkJeZnwUWcqHPr5xm20FgYkETkiRJ6mG1CXkLlZl/c5ptY/Mdr2/VSo732EXlddRqtRi9aqjqafQ86yhJWqhavNZMkiRJ5TLkSZIkNZAhT5IkqYEMeZIkSQ1kyJMkSWogQ54kSVIDGfIkSZIayJAnSZLUQIY8SZKkBjLkSZIkNVDPv9asbOMTU2zcNVL1NHrezsFJtlvHRbOO5bCOCzPqKx6lnlbrlbyIGIiIf131PCRJknpNrUJeRLy/o+n7gSvbtt/ZZZ/DXdoORcSdHT9fjYhV5c9akiSpfmpzujYiVgJbiyD2AuAa4CLgtrZuG7sEvcd1jpWZ27qMPwJMljVfSZKkOqtNyGM61P0B8LrMfC3w7ogYAi5p6/MN4JaO/XbM9QCZmYucoyRJUk+oPORFxAqmA966zLwuIn4pIn4XeEWX7j8HdJ5y/egcDzW1iGlKkiT1lKh6cSsizgeuyMzb2trWZ+aXIuLpwA8CXwB2t+22Bgjgy21te5kOcu391gMngRPt/TLzIdfxRcQOihXBgYHVW/bsP7Do77XcremD+8arnkXvs47lsI4LM7juwu/8PjY2Rn9/f4WzaQbrWA7reMrw8PDRzNzabVvlIW9GsaL3GuAnmQ5rK4HPALsyc7yj79XAOZl58xnGvBY41hnqTmfDps254sob5jd5PczOwUn23V35QnHPs47lsI4L0/4IlVarxdDQUHWTaQjrWA7reEpEzBry6vRvvV8ALgSGMvNB+M4K2x7g1RGxGri1fYeI2A48ITPXneW5SpIk1VqdQl4CJ2cCXuFb39mY+VVgqHOnbo9QkSRJWu7qFPJ+H9gTER9m+lEnK4HjwK9VOitJkqQeVJuQVzze5PUL2PVXTrPtIDAxn8H6Vq3kuK/yWbRWq8XoVUNVT6PnWcdyWEdJy1FtQt5CZebfnGbb2NmciyRJUl3U6rVmkiRJKochT5IkqYEMeZIkSQ1kyJMkSWogQ54kSVIDGfIkSZIayJAnSZLUQIY8SZKkBjLkSZIkNZAhT5IkqYF6/rVmEfG8zHxfWeONT0yxcddIWcMtWzsHJ9luHRfNOpZjqes46vuuJdVQLUJeRDwHuK74+DgggNHi85sz808j4r8AP1i0PQp4b2ZeD/wK8JCQFxGHgP6Ow1wMrM3MidK/gCRJUs3UIuRl5khEfAh4EfBjTJ9G/ijw7swcL7r9DnBB8fvTgQ2nGW9bZ1tEjACTJU5bkiSptmoR8iLi54DHA7dn5h8UbcPAb0XEPZn5n4F3AJ9o2+1I8efKiGhRrPid7jiZmaVPXpIkqYYqD3kRcRmwo/h4WUR0dnlKRPzv4vf9TJ/KXQk8KiIeAUxl5qVzONRUCdOVJEnqCVG3xa2IuBo4JzNv7mjfDmwGHgQmgBNMX4v3lpnTs0Vg3N2223rgZNF3xt7MPNwx9g6KoDkwsHrLnv0HyvtCy9SaPrhv/Mz9dHrWsRxLXcfBdRcu3eA1MTY2Rn9/56XOmi/rWA7reMrw8PDRzNzabVttQl5EPA74NWCY6dW6PwPelJl/39ZnNfAKpm+iOAf4a+CtmfmFWca8FjjWGepOZ8OmzbniyhsW+jVU2Dk4yb67K18o7nnWsRxLXcflcHdtq9ViaGio6mn0POtYDut4SkTMGvLq9Jy8W4DbmL6D9geAW4F3d/R5F9PX5b0YeH6x/ZaIWHUW5ylJklR7dVoiWAl8JjMfAIiIT/PwEPpI4BOZ+e2iz2eBB4DzmT6FK0mSJOoV8q4Dbm278SKA3+jo8yqmV+5mPp8D7MvMb52VGUqSJPWI2oS8zPwI8JEz9Pk48Kx5DHsQV/gkSdIyVJuQtxQyc2y++/StWsnxZXAR9VJrtVqMXjVU9TR6nnUsh3WUtBzV6cYLSZIklcSQJ0mS1ECGPEmSpAYy5EmSJDWQIU+SJKmBDHmSJEkNZMiTJElqIEOeJElSAxnyJEmSGsiQJ0mS1ECNfq3ZQoxPTLFx10jV0+h5Owcn2W4dF63udRz1FYCSVFu1XcmLiAsi4ieqnockSVIvWvKVvIj4O+CejubxzHx2sf1w2zxOZOaVRdtLgJ8HPtQ21nHgHzvGWp+ZmzuOeQjo7+h3MbA2MycW8XUkSZJ6wtk4XXtPZg6drkNmXjrHsf5vZl7e3lAEws7xtnW2RcQIMDnH40iSJPW0sxHyVkTEnUyvrAXwraL9eZl5/zzH2liM1e5xc905M3Oex5MkSepJSx7yMvPHACLiauCczLx5Drv9AHAQ+HLHWE9axFSmFrGvJElST4mlWtyKiGcwfV3djBVMr+S1h623A3u6nIK9A9gBvD4zt0fEZcDuti4ri/Har6/bW4zd3m89cBI40d4vMx9yijcidhTHY2Bg9ZY9+w/M9WtqFmv64L7xqmfR++pex8F1F1Y9hTkZGxujv7/zMl3NhzUsh3Ush3U8ZXh4+Ghmbu22bclW8jLzE8AnImId8ArgKcWmzwFvycx7ASKCiNjMdHC7APg7IGkLg5l5BDgy8zkirgA2ZuZbuhy6vd+1wLHOUNdlrjcBNwFs2LQ5993tk2UWa+fgJNZx8epex9Grhqqewpy0Wi2GhoaqnkZPs4blsI7lsI5zczYeofIe4DDw08XP7cCtbdvfC1wD/CLwLOCRsw0UEe8pfh0HxpZispIkSU2wpEsEEbESOA84mpkPFG2fBs6NiFWZOZGZb+uy32xDPhogMz80WwdJkiQtccjLzKmI2A28ryO4vXaBz6u7uMvdtQC/kJn/sKBJSpIkNdDZuLv2DuCOee4zcyPG9o721fM8/EEeenOGJEnSslDfK7pLkJnzvm6vb9VKjvs+zkVrtVo9c1F+nVlHSdJC1fbdtZIkSVo4Q54kSVIDGfIkSZIayJAnSZLUQIY8SZKkBjLkSZIkNZAhT5IkqYEMeZIkSQ1kyJMkSWogQ54kSVIDNfq1ZgsxPjHFxl0jVU+j5+0cnGS7dVy0Xq/jqK8IlKTK1HolLyJ+IiIuOEOfH42Inzhbc5IkSeoFtVjJi4hXAT/V1nRxZq4Gfh44DtwfEfuBpwFPBEaBfwFeDqwDzu8Y7xDQ33GYi4G1mTlR+heQJEmqmVqEvMx8c0TcAFyQmd+MiDu79LkWICL+GHh9Zv5l8fmpXfpu62yLiBFgsuSpS5Ik1VKdTtc+Fnhz8Xv7atsfRcS/AyhO3X4f8KKFHCAzc1EzlCRJ6hGVh7yIWBMRP8T0qdg1EfHjwH+NiB8suvxsZv5u8fsbgVcCGyJiaJ6HmiphupIkST0hql7cKk63XsJ0CJtg+lq7ceALwK8Cr83ML0XEfwP+JjN/OyLOAw4AbwUeD5yfmTdHxGXA7rbh1wMngRNtbXsz83DHHHYAOwAGBlZv2bP/wBJ80+VlTR/cN171LHpfr9dxcN2FVU8BgLGxMfr7Oy/T1XxYw3JYx3JYx1OGh4ePZubWbtsqD3kzIuIJwKuATUXT3wN/APx5Zk5FxGOZDmyTmfmNtv1eTBHyuox5LXCsM9SdzoZNm3PFlTcs+Hto2s7BSfbdXYtLPntar9exLo9QabVaDA0NVT2NnmYNy2Edy2EdT4mIWUNeLf7rERHnAO8C/l3bDRXfD7wD+H+Aqcz8YkS8DPgacNvMvpl5SwVTliRJqrXKr8krnFv8+YW2ti8wfTfsuQ/vLkmSpNOpxUpeZp6MiNcBhyLiwaJ5BfCGzBzr6L6nWNFrd0dmvmnJJypJktQjahHyADLzA8AHztDnRuDGeQx7kIc+juWM+lat5HhNriPqZa1Wi9GrhqqeRs+zjpKkhapNyFsKXVYBJUmSloW6XJMnSZKkEhnyJEmSGsiQJ0mS1ECGPEmSpAYy5EmSJDWQIU+SJKmBDHmSJEkNZMiTJElqIEOeJElSAxnyJEmSGqjWrzWLiAHg0Zn512frmOMTU2zcNXK2DtdYOwcn2W4dF806lqMJdRz1ndqS5qlWIS8i3p+ZV7Q1fT9wCXB9sf3vgHs6dhvPzGd3jHMI6O/odzGwNjMnSp20JElSDdUm5EXESmBrRKwCXgBcA1wE3NbW7Z7MHDrTWJm5rcv4I8BkGXOVJEmqu9qEPKZD3R8Ar8vM1wLvjoghplfyZqyIiDuZXqUL4FtF+/My8/4zHSAzs9QZS5Ik1VTlIS8iVjAd8NZl5nUR8UsR8bvAKzr7ZuaPFftcDZyTmTfP41BTZcxXkiSpF0TVi1sRcT5wRWbe1ta2PjO/FBFPB34Q+CzwkrbdVjC9ktce3N4OXADsbmtbD5wETrS17c3Mwx1z2AHsABgYWL1lz/4Di/1ay96aPrhvvOpZ9D7rWI4m1HFw3YWVHn9sbIz+/s5LnTVf1rEc1vGU4eHho5m5tdu2ykPejGJF7zXATzId3lYCnwF2ZeZ40Wcd0yt8Tyl2+xzwlsy8d5YxrwWOdYa609mwaXOuuPKGhX4NFXYOTrLv7soXinuedSxHE+pY9d21rVaLoaGhSufQBNaxHNbxlIiYNeTV6Tl5vwBcCAxl5nBxavZzwJ62Pu8BDgM/XfzcDtx6ticqSZJUd3UKeQmczMwH29pmbqyYufv2POBoZj6QmQ8AnwbOLe7IlSRJUqFO5y9+H9gTER9m+lEnK4HjwK8BZOZUROwG3hcR7fu91mffSZIkPVRtQl7xeJPXn6HPHcAd8xj2IGAAlCRJy05tQt5SyMyx+e7Tt2olx3190KK1Wi1Grxqqeho9zzqWwzpKWo7qdE2eJEmSSmLIkyRJaiBDniRJUgMZ8iRJkhrIkCdJktRAhjxJkqQGMuRJkiQ1kCFPkiSpgQx5kiRJDWTIkyRJaqBGv9ZsIcYnpti4a6TqafS8nYOTbLeOi1ZlHUd9vZ8k9bTahLyIWAP8MjBYNP0f4K2Z+eUz7Pd7mfmLSz0/SZKkXlKbkAe8C3hj8QPwTOCPgOH2ThHx/sy8oq1pXedAEXEI6O9ovhhYm5kTZU1YkiSpruoU8s4DPpmZ4wAR8ami7Tsiop+Hh7eHycxtnW0RMQJMljJTSZKkmqtTyLsOOB4Rn2H6hpCnAS/o6DMMPCUiVmfmV4u2iIgXA5/KzC+c7gCZmSXPWZIkqZYqv7s2pp0D/CXwaeDfAFcAR4H/HRHnFH0eCbwCeD7wlohY1TbMJHCmADdV/uwlSZLqKape3IqIHwFeeoZuB4H/D9iVmZ+JiCHgGuDFwJHMvLQY6zJgd9t+64GTwIm2tr2ZebhjDjuAHQADA6u37Nl/YMHfR9PW9MF941XPovdVWcfBdRdWc+AlMDY2Rn//Ga/00GlYw3JYx3JYx1OGh4ePZubWbtsqD3kzIuJ7gF/h1N21nwN+JzPvLVbtHgN8ZebGiYiIzMyIuHMm5HUZ81rgWGeoO50NmzbniitvWMxXEdOP/th3d52uBuhNVdaxSY9QabVaDA0NVT2NnmYNy2Edy2EdT4mIWUNe5adr27wbaAE/U/x8uGgjMycy817g9pnOM9fXzRbwJEmSlrM6LbX0AR/PzJMAEfFx4LyZFbtqpyZJktRb6hTyXgO8NyJmAt0K4DWdAS8iWl32fXVm/q8lnp8kSVLPqE3Iy8wjwJEz9JnvqdmDwLwefty3aiXHG3QtUlVarRajVw1VPY2eZx0lSQtVm5C3FDJzrOo5SJIkVaFON15IkiSpJIY8SZKkBjLkSZIkNZAhT5IkqYEMeZIkSQ1kyJMkSWogQ54kSVIDGfIkSZIayJAnSZLUQIY8SZKkBmr0a80WYnxiio27RqqeRs/bOTjJ9mVax1HffSxJqoFahLyIeA5wXfHxcUAAo8XnN2fmn0bEKuD2Lrs/DfjuzJxsG+8Q0N/R72JgbWZOlDdzSZKkeqpFyMvMkYg4DGwDrgQSeB9w20woK/68tHPfYr/O8bZ16TcCTHa2S5IkNVEtQl5EvBT4PuAIcD3T1wo+HvjvEfG3mbk3IvqAEeDBjt2fynQoPKPMnFM/SZKkXld5yIuIfuBDxQ/A84CVwJ8A/6fo8wimg9zJzLxigYeaWuRUJUmSekZUvbgVERcDLzpDtz8G/gb4v8D/7rJ9V2beFRGXAbvb2tcDJ4ETbW17M/Mhp3gjYgewA2BgYPWWPfsPzO9L6GHW9MF941XPohqD6y4sbayxsTH6+zsvL9V8WcfFs4blsI7lsI6nDA8PH83Mrd22VR7yZkTEOuBVwJOLps8Dv52ZX+zS92rgnMy8+QxjXgsc6wx1p7Nh0+ZcceUNc+2uWewcnGTf3ZUvFFeizLtrW60WQ0NDpY23XFnHxbOG5bCO5bCOp0TErCGvTv8Vfhfw68Ani89PL9p+tLIZSZIk9ag6hbw+4PMzN0dExF8B5xe/d56GpWjf3vbxYadhJUmSlqs6hbzrgFsjYuZzAL8BkJlHmL7zVpIkSXNQm5CXmR8BPlLysAcBH34sSZKWndqEvKWQmWPz3adv1UqO+1qqRWu1WoxeNVT1NCRJWrZWVD0BSZIklc+QJ0mS1ECGPEmSpAYy5EmSJDWQIU+SJKmBavNas7qIiG8Bx6ueRwMMAF+rehINYB3LYR0XzxqWwzqWwzqe8rjMXN1tQ6MfobJAx2d7B5zmLiLuso6LZx3LYR0XzxqWwzqWwzrOjadrJUmSGsiQJ0mS1ECGvIe7qeoJNIR1LId1LId1XDxrWA7rWA7rOAfeeCFJktRAruRJkiQ1kCGvTUT8x4j4SER8PCKeUvV86igiVkfEGyLiPxafnxgRHypq9qa2fg+r5Wx9l5uIuCgibomIVkT8z4h4vHWcv4g4NyL+R1HHj0TEOuu4cBFxNCIuj4jvjoj3R8RHI+LmiFhVbL+m+Pv6FxHx40Vb177LVUT8Y/H3sRURP+ffx/mLiKcXf88+HhG/bg0XKTP9mT5l/aPATcXv3w98oOo51fEH+H1gD7C3+Hw7sLH4/Vbgh2erZbe+VX+fimq4Flhb/P4c4K3WcUF1XAF8V/H71cBrrOOCa/nTwBeAy4HfBZ5ZtL8J+BngccAHgADWAJ8stj+sb9XfpeI6frTjs38f51e/VcAI8ChrWM6PK3mn/CTwRwCZ+X+AR1c7nXrKzF8A/idA8X/t52fmaLH5j4EfoUstT9N32cnMf8jMfyg+fh14AOs4b5n5YGaeLD4+Abgb6zhvEfEI4OeBdxZNT8zMPy9+n6nLpcCtOe0+4EREXDRL3+Xs6zO/+O/HBXk2MAr8UbEi98NYw0Ux5J3yGOCrbZ8nI8L6nN4A8E9tn/8JeBRdalm0deu7bEXEOuDXgN/COi5IRFwXEX8DbAU+jXVciP8KXA88WHxu//febDWcae/WdznbUJxCvJXpFXv/Ps7PE5heYLkC+HfALVjDRfGNF6d8g4f+hXgwMx+crbOA6Zpd1Pb5UUz/g9dHRy2Z/j/cbn2XpYi4Angu8O+BcazjgmTmm4A3RcSzgd/GOs5LRFwN3JOZn4qI58w0t3WZqUvnvx9n2rv1XbYy82kAETHM9P+8XdS22b+PZzYJfDAzJ4HRiPhnuv+9s4Zz5ErVKR9l+roUIuLJwJeqnU79FafKzitWpABeANxJl1qepu+yExFPBZ6bmS/NzH+yjgsTEY+IiJmQcQ/T/z6zjvPzs8CTI+IWpmu0C/hyRPxgsf2FnKrhCwEi4jHAOZk5Btzbpe+yFBEr2z5+HUj8+zhf/4vpU7ZExBqm/+fiXGu4cK7knTIC/FREfBT4FvDSiufTK14F3BYR/wL8aWYei4i/pnstH9a3milX7nLgRyOiVXy+B+u4EE8C9hd1GAdewfQlBNZxjjJzZvWOiPhN4BPA3wBvj4gHgU8Bd2RmRsRnIuLPma71tcVuv9HZ9yxOv242RMQ7gX9h+jrba4B/hX8f5ywzPxkRxyPi40yv6r2K6f95s4YL5MOQJUmSGsjTtZIkSQ1kyJMkSWogQ54kSVIDGfIkSZIayJAnSZLUQIY8SZKkBjLkSZIkNZAhT5IkqYH+fyBJg/49XsU0AAAAAElFTkSuQmCC\n", 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" + "
" ] }, "metadata": { @@ -6503,22 +8154,21 @@ } ], "source": [ - "plt.figure(figsize=(10,6))\n", - "plt.scatter(t,y)\n", + "data_result['총계'].plot(kind='barh', grid=True, figsize=(10,10))\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 101, - "id": "f49d0bef", + "execution_count": 140, + "id": "6276d3c5", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, "metadata": { @@ -6528,22 +8178,21 @@ } ], "source": [ - "plt.figure(figsize=(10,6))\n", - "plt.scatter(t,y, marker='>')\n", + "data_result['총계'].sort_values().plot(kind='barh', grid=True, figsize=(10,10))\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 102, - "id": "ad86562e", + "execution_count": 141, + "id": "1242b85b", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" + "
" ] }, "metadata": { @@ -6553,24 +8202,22 @@ } ], "source": [ - "colormap = t\n", - "\n", - "plt.figure(figsize=(10,6))\n", - "plt.scatter(t,y, s = 50, c = colormap, marker='>')\n", + "data_result['CCTV비율'] = data_result['총계'] / data_result['인구수'] * 100\n", + "data_result['CCTV비율'].sort_values().plot(kind='barh', grid=True, figsize=(10,10))\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 103, - "id": "138dc1e1", + "execution_count": 142, + "id": "c573556a", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" + "
" ] }, "metadata": { @@ -6580,91 +8227,58 @@ } ], "source": [ - "colormap = t\n", - "\n", - "plt.figure(figsize=(10,6))\n", - "plt.scatter(t,y, s = 50, c = colormap, marker='>')\n", - "plt.colorbar()\n", + "plt.figure(figsize=(6,6))\n", + "plt.scatter(data_result['인구수'], data_result['총계'], s=50)\n", + "plt.xlabel('인구수')\n", + "plt.ylabel('CCTV')\n", + "plt.grid()\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 104, - "id": "05091601", - "metadata": {}, - "outputs": [], - "source": [ - "s1 = np.random.normal(loc=0, scale=1, size=1000)\n", - "s2 = np.random.normal(loc=5, scale=0.5, size=1000)\n", - "s3 = np.random.normal(loc=10, scale=2, size=1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "id": "e9b0d2e5", + "execution_count": 144, + "id": "d3055a80", "metadata": {}, "outputs": [ { "data": { - "image/png": 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v92mUa8kY1rjZ9IYU39caayPwpkLeGFIlJSWoqKjIy8FDBdM0UVFRgZKSLVtXkg18v+h7rKpelfN3GFRsrhp48zHCJZsI8i5kiSzHLh+LRZsWZbNaOYXNWKbu44PfP3B9birXXm28FoAzqdPkIjOk8pGRCmRI5cFYbqc/iDTOVDdwfiNs1kxIdVPeYM0HRorqtK0wUnkTtdetWzcsW7YMa9eubeqq2KiL12F93XpsLNiI6pJq6XElJSXo1q1bI9Ys/5BIJvCvMf/Cds23w+CzB+f0WmH6AwsNiQbUxmvRqriV9Jggk3E+THw68NsCw2+yl0XtGTBgwszZcyBDqjhaDECQR4rTtuSjZi1Qe8oDjdS2kNmcf875ZIBTX8oHN28ukTeGVGFhIXbcccemroYLPy79Ebf+cCuO6nYUXu73clNXJ69BnXdF1YqcdxpZeDuLd2e+i4O6HNSkYcy5NkxuGnkTJq2apMwsHuRdbCmDXTwZV+Yns90J3P2oXHv1iXqUFJSgNl5r/57t90euvZKCElc9ZGLzfBAN86A66bjX8qE9qTYtzvT9Lt60GN1bdG+yqGDDoaRcCMJIHfnZkThtp9OyvpsIvfuEmcC62nWYsGKC9rlH9z8a+3bcF8/1fS6rdcol8sa1l4/Y1hmPIKDOa8LMOY2rs9J9ZsozTR7GnGtGYdKqSQC8E+7AeQOxdPNS67cAq9Omot+DTmh+7lh67h5DSuHaa0g0oLSg1Dov9RyyrTW5fsT1AASMVOp++OvlozskyPY7uVpIBOlXSkMqg/75e8XvOG3gafjw9w/TLiNT8BneCUEMqY31G/HR7I+yWi/AzURdMvgSOw2CDtbXrceoJaOyXqdcIjSkNLCluDyC4IjPjsB131+XtfLYSYCdwEYvGY1j+h/j0qAAQPna8rS3bKEJKKih29iUd2Ndr7LBiTxMmkncP/5+XDbkMvuzLnLZzpNmUhrOH3RC8zWkJO4Em5ESGCgNiQY7fxadTy63bIEiRImR8ojNOYM4HxgdHvng2uPbqY4GUpT+IJP+SQuVaWunpV1GppDdd75ppLaErbEyRWhIKaDKhOyHk748CW/OeDPbVcoaKusrbUYjG2AnAXYCeGTiI6ioq8CGug2u4y8ZcglO/zq9SLCgESCq/EG5RK6vRwxKRW2F/R1NDuvr1rs+y8DWMd2JW+e8F397EUf2P1KYbiLbjJTMNWenP5C49ooLxExRtkEGG5/+gK9XPhhSdfE6PDPlGVvftcUxUkl5HqlM6sfWobHGlTnr56DP+30wedVkAHJGqik1UqZp4oWpL2B51XIA/m145OKRWLAx/xLPBkVoSGkgHUNqedVyvPDbCzmoTX6C7bxs56Fs2dlMiGczUgG1CY09wOR6ImxT3AaAYzQB3kHdz+hkV6/pMgg69zl80XAA4v3Mgrqw/FbcfMQQQWVQNyQFjFSODCnbtZfkXHvcfeUDE/7JnE/w7sx38d7M9wA4zLOWRipN1+Tmhs2oientq+gHVVvJRv9cV7sOe32wl/ZG35lg0kpr4Tt66WgAcld1UzJSy6qW4c3yN3HTyJsA+D/jf/74T5z5Tf7t6xkUoSGlQLY0UvkwIOYabOdlO49MSJsJ/FbFHiZCITLOJXJ9vdYlrQG4DSmPYNnHeGSNhXTbacbtO+Dp2owU9NtBMpm0Bey52NGAZWzJkPLbIiYfoq/IJU8GVBAhfrrt4rBPD0O/Af20y1Vdh34TPcts9M/lmy3mZcDcARmX5QfZfeYTI1UYsfoQbTCej5GnuUBoSDUCtoXG5GI2BB2eHbQynXj9GCnZALm1GVIti1oCcLM8/DX92p6ISQy6gMhUFJ1tRsqOGEoZLzYbasivl0QSBUaB6/dsaqRYDaHMhchPgPng2qO+Ss+QnqnOO8ukn1fFquTlBhhPZYEHQcsRnAwAKCssA+AYDo0Bvn/y98EuNAbMHYBTvzq1UeoF5Ifx3xQIDSkF7Ik6QzsoHwbEXIPtQKLOxH5Heot04ZdHSjbIN7ohlYOoq/V169Hn/T4YtXiUvQ0DO+EHDaGXMYlBkGmKhVxH7UVSw5zKtWeapv08bdeemUVDinnOZABT/SiyLB/F5vQs6RnKUkuoztVBXbwO3/75bdbZezYMn0c2J/1suSJVkDGs/GNm29HDEx7Gks1LhIuPXHhKtvYM5jLkTR6pfIRMzBcUW6Jr780Zb2J93Xrt/CJs5xU9L3bgzXT1FkRADWQWNJAJcvHe/9z4JwDgw9kfollhMwAcq8QZb34TXjY0UkHuUzSgBzUYfDVSFLVHz8Kgf+TtIGkm7RB5PlFmNiB6zn6bFrOfk2aySTbe5XO22Zmqs2xIPT35afT/oz86lnX0LzdA1J79rAULimz0T3qvjWFIEeh+ZeMa1em7Bd/Z31XHqj2Je3PBHoWMVAgpMu1wmTITY5aOafR8JS/89kKg/CKy9AcEFyMVy4yR8nNByQb5pZuX4pEJjzSaGDMXjEJBxFr7xJNxe2J1sUrcilA1sM3bMA9nfu0IPRuDkcqGgFtXI8W3E1nU3qvTXsWSzUtsRspPIzV19VQMXTg0UJ1Frm9eI+XJI8XUs6kmKI9rL4AhFaRdrK5ZDUDt0rPrFMS1lyONFG8MN6ZrjyBjWBNmAhW1Ffj32H/b321u2Ow5PxfjU2hIhfAgXbE527B/Xv4zDv/08LTKeWziY7hu+HX42w9/w1O/PpVWGTqYVTELfd7vY7Md6cDPRcQ+k+q4fLsdOnbc8nHSjm53VsnrkeUPemD8A/h87ucoXyfPBJ5NqAaq6lg1Pp79sa+Rvqp6Ffq83wcz180EAFvHE0/GbQbF9ewDMFKvTn8Vm2Obpce+Mu0V/HP0P5X1E11TBaGLISATphu1RyAjQDbxvDL9FQBAoVHo+l1msF057Erc8dMdadfZw0gR88U9Bva5JpIJnP/t+dj/w/0DXTdT2O5Rw+3aE02YtfHajBedWmkV0jCkhAEGkr5BixUd0HPg8+TJ8MLUF/Dbmt+0yyfM2zDP853sWcWTcc/7ERmo6Ro9pmni+0XfC/thrgwp0zTx07Kf8ta7ExpSClCHDTrQs8e/8NsL2p2Mx2d/fGaHvOYSwxYOAwCMWTYm7TJkeaTs35kORjS4bP+rUUtG4a8j/4qPfhczYunspcYik2jM92e9j9t+vE15zPjl47Gudp2ynk/88gSe+OUJjF8xXl1W6vf+f/QH4LAq7CTP/h0kao+ix3jQNV6d/ipGLhmprB/Q+K49XUaKYBtSijxSgDOB5iJqz8U2me560nU8RnDSzUjNWT/HzovEY8rqKfhg1gdZq69dB9rIOtVnbLE59ww31m3EQR8fhLdnvu2cmwbjoTXWBhiOqf6ifiC7FkWe6SBIG4kn43iz/E1cMfQK7XMAYNiiYThn0DkYudjqi+/Neg8LKxfav4vE5vwYV9UgMKTS3ILohyU/4F9j/oW3yt/y/JZuAuCJKycqj/1i3he4edTNGPTnIP2KNiJCQ0qBoIbUqupV+PbPb12NaUvYZiYbCStleaRE31XHLEaKMjzzoHD+hZsWCn/3y2zu15kz0Zo8PflpjFg8Qvq7aZq4+YebMWDuAGU9NtVvAuDsvyYD/25o4I4n485ErHCriuowZukYzN0w12NI8cdSwk8/BBk8G4WRkrRjVWZzAI7YPM0FlAo6GilPDjCmnn73fNWwq/Dfyf/NSl1Z6Lr21tSuAQAMXjDYc64OgoyTabn2BEaDzJAg1ler3AAMjJ3ZPioe92SYv2E+AGDeRoeV+nj2x05d4A6+SZpJj24sm4zU+nprfF5VvSqjMtn3eP3w65XHrqyysqN/Ne+rvGSlQkNKgaArquuGX4e7x93t8pc3hiGVSCbQ5/0+eG36a+kVYAd/pN9A/Vx7LkYq9XxkAwpN8BTNxION2ltRtQJ/H/V3PD7pcaytWSu9PotcvpN4Mo54Mo6GRIPyedrsiKZbjMpiDSneuAL0GKm//fA3nDvoXM/KW8bk+CFjQ4oZGHUGST8ROP9MeUaKvQbLbhFDqnJfpQuhIcUl5FS5ZZtKe8LrzGRRe3afZCbwtMYTLUIqt+kPIhH9aVEWpSZqx5SmhBd9pwMDhtNeUpfiAwJYiDRS6bYpPoLTVWYAlisd3drUNVPx1byvtK/RWAgNKQXszqDZb9fUWKsytjE1RqQNuQ7fLn/b58jM8a8x/0Kf9/t4vvcTm7MDC00qxADwIENK5hJlO+A7M9/Bj8t+xCdzPsGVw670XEuEXL4Tcr0kzIRyUKA6+NWVX1nSc44n487muoocXqryeUaKX9lGNIeHQIaUYCNglyGl0dl099oj8OkPXBGkTLQVufaCCKp1oSM292ikWENKMUGx6UTSddfIsKByAQD/qD0+TQKQu2jlIOXaiw1Bu5O9X5nkQATZxtaidkzbZKVrSLH3bRiGJ/Es735lQV4AFum2b3vs8onO9oPoPeoYd/m4d1+Y/kABWYZkP5BBBcAjiN5QtwFtStpkWjUXqPGlayDw7iNidkT4ftH3nu8G/TnIrZESsCwJM4Hrh1+PAzsfiC7NuijrWxQtAgDUx8WGFBuSzU4itJGoH8sTdGuZILD3TUsmtQYF37rquPaYSTpIdmx6znZdeJG+5nPKNGqPfQamaUqDCAi6CTltcOkP/AwpetbZNARUrj1iXvlxRpeRog2qAWvxURYpy7zCsLb1Gbd8HAB/sTmfJgFIM1o5y11TlfdKqpXTce1xDLHnd0E7JkaqdXFr3/L9wLLqItceD6FrT2F0NyQaYBiGUi/m53nwQ7qRlE2RBsQP+VejPEK6Wonzvj3P/ptf1R/V/yiXUDAboMkpyEqKBe/qOnbAsdrnVtZX4p5x9+D+8ffb38kym09cOREv/vair8bJNqR8GCkDRlqJ5nLp2mOzVKvqYQ8GPk3Lw0iRIWXGhToNj85GMTD5aaR0B6wg/cPvfelMvr5ic4lrz74eU1/WDW9nNg+QdFIXQgOSY6RU+jaV8Th3w1z773QDW0T4Y8Mf9t98qg0ZI+Wa4NMxRHPk2hMZDVJGSsKUiyDre0JGqj49RkqUL4plpJwvrX/YscGuZzKB0wee7nKLqYye/T/aH+d8c46yPiLo9Jn1desxbc003DzqZs9vMuOOvWY+6o5DQyqFDXUbbOqVwDbGb+Z/EzjkGRBPRsScZAvEggQZAFhkkrBSNEEIswgLovr8JmrZpGB3VkN8fU8GYK7j55SRYiZFpWsPbvGuCBTyC3hXwLFkTMhI8UaEymj1uPYkexT6IVNGin1fsslX16hIFeiC7doTaKRYl4edRwpeQ2pd7Tpb8JoORK49j9icq7jfbgEi0ObQuYLMyMw04WWQ5Me5ziOlsyAVaa9YN59QI1W3EUAahpQkGIiu/euqXzFqySgXI+UxypHEok2L8MD4B+zv2GfyVvlbnvIXbVoUqD6AXhTj1cOuxr/G/Au/rvrV85tWO88/Oyo0pAhH9T8KR/U/yvUdDaimaeLen+/F0IVDsXRTdo2gICARMw/S5WgzCJIJM50VpC4jFEQ4S8fKxOY0aBswhMJj3/QIOYz6oDonzaSSXfELxQcspoFcqSKxuUdjAz2XC4E26SX4GaA6Ro4ffBkpv9xhCJ7+gM8ELYogBZwJVJR7qO/nfXHClycor6uCKKqVhMrUhlX6Nl3t06OTHk27jir4Re3RO2HHoHSYI5nmiDtYGyKjmP+Nh86CVFQeO16pGKkg6RVYuBgpGK7PA+cNtP9OJBNKN7Hou+enPo/fK37Xqoft5hXtWakxFiyoXCDN1aXl2stDsyX/apRHYDVSvdv1BgBMXj05UBmiCYwMl4WVCzGrYpZ2WdcNvw77f+RNyEeDmI5vH5AbMiZM37xGPHS1B2ynowlExnjQpDGzYqYwPQDrRqhLuH9nDQwCf51suGyqGqrQ5/0+nrwmLkZKse+UjtHLTvK80aQrNmeNzoHzBmLWOqe98StvPkJL97llmkeKHfRl19BlpEzTxLNTn3V9x9+PzLUXMSIwYDjGQhb3StRKf6CY/LQMjBzCL6KR7o9t17J3uaByAe4Zdw+WVy33/KZjMEr3nBMdq2Ck/NJkqCCqp58hRYxUuuMPXyZbf/a5i2QFOukfgkbxpSsWB+RJT3XOz6VHIV1ss4bU3A1zsWTTEuUxbMMlN0jQxqaaMG/54RZc9N1Fdp4QP0xZPUX4Pa1odcN2ZSt2EyZuHHGjVhkEXe0Ba1SQ8SHrEOwE9umcT73XZN4Bz1o1JBp8J/aaeE3G0U0rqlcAAN6d+a7re1YjpWSkFMJQAnufdfE6/H3U3226XSY2l+lsDMPA/ePvx0WDL5IeK8sILjve/l5xn33e74Mnf3nS/pxuQk72fVXUVWCfD/bBhBUT7O+mrp6Kt8rfQm281pPfhs9szl6vorbCdVzEiCizYacLkSHFGsemaSo1UkHaq4ix6/N+Hzw75VnB0RaWVy2387epQG2S72N0TZEImsf45eMx6M9BuHfcvXZYvh1xpjG+BoraS0MjlTSTmF0x245YlB3Dg5UiiH4nRiooZJsTs9eIGlGX25XvkyJDnH/Wuq58lRREt8/I3KdSjRRTt1AjlUc4d9C5OHXgqTBNE9PXThcew0bvsOzUvA3zMGTBEK3riF46NUSaFGlSThd2OgFNsbmUkUrHtacZVsxec8a6GQD0EmqKknayxgHPSDUkGnyZhGu+vwZ3jb1LeYwfiF7mnxnr2lM9Tx1dGjshjl0+Fj8u+xFvzHjDPp+N5Isn46iJ1bieXdJMKjVSfvS/h5GSPFe/wZPdszFwxF0KbPspX1eOhJlwZVa+ctiVeH7q80oGWOTaYwM/yJDKhdic7tuAYU+I7D2JBMKuLWICLOBkSV7fmfmO9JyTvjwJfT/v6/qOff98ug4ZIxUkj9Tk1ZNx/rfnC8sBLHfTS7+9ZH8evWQ0Bi8Y7GVmFNdJZ4sYEyYu+O4C1z6UgJNQExC/D1ZmoNJI+Y2zlfWVeHX6q56NkHmxuUx8LhOb80g3Slc29smuwyNqRKXu05CRykOsrl7tuyv3oD8HucKHWfCTEmA1nnMGnYM7x97pOV5oNGlYz7zIPSiCRu3JOlk6G8r6hbPb3wkGLSkjxRzbrqSd67eGRAOen/q8dT4MDyNVn6jXmgCHLRrmewwPdpsFWUJNFyOlqIeOLk1ldETgTPjxZBz/GvMvHPzJwa5rmqbpSl7Kgz22tKDUJeIHvO8nqGtPNKj6MVI6xpooEamyLtytsxMQmz3fNqQYbWS2EDOtdlEYKRQKlWOJmFdszjy/bBhSgLX90pO/PBnIsAC86Q9kGimdqD32XHLvUVtj3+lb5W/h9Rmv259vGX1L4AUQa1yo6uH3/ZTVU3DEZ0dg9JLRiCVjwkCYUwaeoqwLMVJ+C72xy8filWmvOJHQgoTJBgyPa89uV0nvIk7UV/hnkg1GStcQkslQdMbukJFqZBz3xXG4fOjlymOWbJa794IIpAFxw5KtkFkDJGuGlGbUnmw16ZcxmkXQyUz0/HQYKX7QYQWRBgzPgKbj2gOAXm17+R7D44yvz3BdWwTtqD1FUjuCypAyDCezccJMYNSSUdZ14X52NiMlaIf8QoFNQCtya6gmHtM08dyU51wbX4smL2FCTo2oPVeYORRtT/A86VnzxgAALN/s6HQMGC7XXi4ymxdGJYZUyr3Hgr2XIK49lSF16+hb8dHsj1zsig4eGP8AZq2bJTekEgKxueRdit6RajzROV/nWP4ZygwaUb1nV8wGAExYOQFnfn2m7ybyor5CeaT8xicSo9NG5bIFOnsN9piE6RWbC6MWOQ2nKKpVBb+gIhmiRtSjkWpR2EJaT7ZuQJhHqklAOVbiyThmrJ2BWRWzcNinh9m/F0WKZKfaMOGs7INuZyGbcGmvNcDZuygoVlevdkXy6TJSstVkEEZKFDFG0BV26jBSfGfnB1o+aaeIkdJxa+lgba03Uals5efLSGlE7akmcnbCd2mk2OdlegXkorpfvPvFrsF3c2wzzvz6TKyuWe06XqWRqqirwNsz33Zp7ESGuV+UpQ5LQPVW5WZioZvZnMTm2XTtzVw3E5X1lY4hFSkUvrdYUsBIpZH+AABqE7W+x2it/Ln+OXjhYOmzIQNZJyGn6to6Y1CQNB3ssbwMQMqYCepNue1iyZhW+hoRu0jBI/Tb+rr1+HLulx4DT2ZU8pnNeYbKvpZg7BEZqDKNlJ8xa+vk0mSkIkbEZUi1LWlrR56HjFSe48XfXsSlQy7FXT/d5dp3SMXisO48UePhO72f+4RFZYOzIkyHkaqsr8RxXxyHJ3950q7H/I3z8fr0133OlDNSsp3lRRAJne3yRREiEkZKJPhXMYGsKy+JJOqTnCGVrNeKtsrUbSMzArXTH2jkzWGfLd+2WC2PLI+ULyOVOrYgUiAUO3uOV7j26J3Louv4CDV3Aeyf4ufBlsUaqzp19KRxgHhy5TVS2di0+OLBF+P64de7DSmJa88j/pfsCegHv42wgfTuzTRNFwvKggzkoK49Ar0jYXoXSRoUHbD3ye6CIKsHIK43sUS6deGfL9vOqPxB8wfhwQkPutyXgN4WRTwjxWLIwiGu+YUtU/UdMT1+8wA7L/qVKULEiLgW/aUFpahP1LvGERVCjVQjgm9k5BJio3QAdSZgoUaK6SA6nUrkyjBguBipdAwpOn/s8rGuQfalaS/JTrEhZaQCuPZUEyO/8hNdE7DcR6cOPBW/rflNeizfMTfHNruO4xkpkWtP1PEynSRlUXesa09LbJ6uRoqZ8Nl3wOdkUjFS9FuBUeDLoLHH82DPZZ81Wy87bYNIqwJvP1Ndm/qsbhJIXmzOHsP2f8Mwsio2p/Nnr5+NMUvHAHAbUnEzbkcD+zG7qhQXPPgxLV1RsAiy7XNsjZSG2FzV90STuCdRcoC+y77DTAwpm5HSHCP5Mljmk+pPrAybmZ6tFx8o4rpvQ/4cKusrcccYd/LoIFGLfvcoWjSprsODZ6Ro8/p4Mi71ZrCSgZCRakTwA5PdsLl3UBuT0+DsFjEiK1xnOwZZY93UYBlCpQWlgfUKgNPJokY0kAEEeBt7Oq49ur5oshcJ/FUrlUWVi1yfVa4elk1MmknPO9AVm2eDbRDBFpsnE2rXnCLyheBHsYuSGPJbVtBnNl8S+zvgDOiZMFJUB1a/wAZBsIlEZfXg/2bB3he9c52QbrZOfASXaZqu9hM1ooEMKVk6ElFdflz2I4DUs07dYjwZR2lBqf23ipFyMbE+9eINBqEmKY32zxrm0jxSGpsWK117grGMTxuQTvoDAHh2yrPo834fZz9MhauaBxlSuqw9X0f2nfDPUJaxXLQ4IfBic35e4yPBdfoKPSu/e7QZ1TQTckaMiMsTRJHZ9Yl6TzoZAPhuwXcYsXiE/TlkpBoRPFsk2gsKELMngxcMxiezP7Eb6vS10+0Bl+0QOoyU0EI3nAGjfWl726gKAmqwESMSONqOF/ey247owmakBAOfaNJWboUCE3PWz7E/KxkpxpAav2K8Z0L4YckPHi2TSh+ULuzILu767CCtpZFSuP9U74MtX5ZHyq8O9BsNaummJkiaSWebIoayZ5M0Kg0p5hmKrvH0r0/jlK+ciCjbkBJFIgm+k0Uf8ka4nUdK4HoT4aphV3m+m7thLgbMHYBnpzyL/T7cz/M7y0jFEjF7EombcaVGSseQopU979rLJHGiqxxmQSljYtmuFkTMTRBN4pvqN7lZ1yBic+ZaNBn76XHY7yeunAjTNG0tbbquPdWYyD8n1tBixzsWvGtv6MKhyvoEScjJ3+O62nW4YfgNdvoGu+0IXoNOu4oaURQaTnZ36gMNyQZ8u+Bb+3u6P3ZuAEKxeaOCHyRlugfRi79r7F14/JfHXQ2cwnTZbNN8pxdZyrKMxFR2m+I2gQ0pVs8SMSKuemhl5eW2q0jHtbe4cjF+WvYTHpzwoOc3ESOlmqRHLxmN8789H98t+M5bP0Y8/cLUF/DMlGeU9fp0zqf4Yu4XftV3gXKJUWSODqhe/GBM78Jv02JZ+oOlm5fiyM+OxNLNS13PgX+viWRCaEi52B2YyoGN2iAZP7pb94jKEYW/2xn3IwWOrsnHHSeaJL+a/5XrMxkKOgJatk78JuT8GGGk/svEtXfuoHPx8ISHpTmbCqOO2DyWjNmMFPs+Cexnto/LxhSakPjFYRDm4KQvT5JKDdhxRyZmdm3fIWn+qsWDyFCpjdfiuAHHSc9RQXSffho4tj1eP/x6fL/4e3uxoc1IcWWzC3BPbiuuGvT95obNOOzTwzBj7QxP+bzY3A86fUUWxPHh7x9iwsoJ+GKeNa7S2Jd2+gMYLkaqbUlbAF7Zjd/m9vmErdaQ4o0CdhXIQrXC8FvJ6WgRRB2ZHZBal7RGZX1lIIYkaToi4ogRCezaY42TpJlMS2x+yZBLcPOom4XZkFljk6CqI0UZDV4w2K4TgX3eb5a/qVU30eqPB/u8E2YClw25DBd8d4FW+Xy9WLgYKcWEIUt/8N2f32Fj/UZ8++e3wmzYhCQcDZZI1E11ULUr3rWXLiNlmqYTOcoMkOz+ayqBuE76AxYVdRXSslSMFD+B8cxNLhNyElyMVDLm0ofwcBlSGowUuZ/q4nV4Z+Y72PeDfa0fBI9U9pyXVy3HuOXjAEh0NYK96xZsXGAbb66ovQAaJJosRSxsTbzGNc6k69rj66XaKovFss3L7GuK5osWRS2k1yCwi0t+aydR32YhW+AFeQ46gRn0WebN4ctSGakq8OkPdmm9CwBvyhWWLGCRj4bVVmtI8UYBNTpR3iEZ/ESaOgaMbCVgG1LFrRFLxoQuRhlYl03UiLoGHx3/MR9Wze7flg1Ux72GlGqvMFqV04Ch0kjpwPNeBI9EZ383Feh+llctdw2S2gk5JekP2M1hVe+DNdRkiRtZjZSsDMqdxJ8rPF4Rzk73vXjTYpsRdLn2TL1IO7rG+rr1uGH4DaiorZAKWHVde7YejRgpyVgQMSKuDNFB24WO24ciJElDZzNSAgYzaSbtCUe1MTWBde09O+VZO8O16L35pdYAvH2WTQNDz2Z51XKc+c2ZdsZ9Ub4vHqrnKtKdTlszTXq8H0zTlG51pOPaozJs/ZDgHRdGCnHtntcq68EzUjeOuBED/hggvR4Lna20/MC+SztPGp9XSxC8Yp2QqgcXYCNkpHTE5hF31N5OrXaCAQMLNroNKbss7vZD114jQmZV8y9fNfj5DUDLq5a7BKdC155EXMsaUoClAxiyYIhnE1wR2Ek6GuEMKQ1rnWd8VGxBOhC59lRGJ3UY0UqHvvt+0ffa19cJAlAZUn8Z+RdcPexq5fnsgHHvz/cCAGatm4UXf3vRLlNpSAmi/lZUrcC62nV2+UpGimGb2EGSN0r8NFJsKLLf+z/py5OEm2yzhhQAPDThIQDubNc2CyBy7QneRf85/TFh5QR89sdn0noJM6eLomQlGil+8ULPws/1I4OIiWVRECmwRMJwxPnkjoslvekPkmbSNo5cjJRkM2ybWeTag2hBSN/dMPwG1zYsAGPMK9KY0L88qzdp5STXtUUIKjb/ZM4n7roH0UjBRFlBmes7mcjbPsf0MjA2WyNg7QsiBZ7JvT5Rjz7v98HHsz8G4LDkUSMK07Q2h19TuwaAd47g27soP6BHbO4D9l3KxnuWKRV9z9cv7TxScEftlRWWoV1pO3vLNIIttufmtJCRakQ8OvFR12dZo1O5s0Qdnm307896HzeNvElZDxn96TGkGjbhzrF34p5x9yjrS+fTYOlhpAJqpFhGKlMBNoGPGgLUjJRKG5IwE/hl5S/415h/aV/ftQu7xmDJX//n5T9j8urJymuw51BqjYsGX+SaaFQTBh9JBgAnfnkiPvvjM/t8VzSeYrsVdvLhhed+In/DMLQT8QHAO+Ve7Y8J07MgeXnay7hi6BXW78w9itoBmwqENw6jRlR6D8LM6Tpi89QCiVJn0HYVQcXmPPzyN1EuIhOm/c7IUBJlo06aSUeIyzzfu8fdjTU1azzliwyguOmNBqSyAStTN5/HyGakuGfJGmUyt4sOgqY/8JwfUAZRVljm+Y7913MOt4Bm+7LI0CswCjxtjETilNePosPLCso898+3YxlLzSNd157MNSd17aWuw+8MkK08UpQOgZdkyDRSYdReI2LqmqmuzzIaNBON1ObYZtTEa5QTkEz7QI2xZVFLAN7VrGoQT5gJe7AsX1eOZZuXOT9qtDEXa5FM2gxSthgpoUZKEYFmZ0UWsDRJM+lJLrdL613s/Dsi6LhBZDosXch0SWz5qoHOb4sY3rUnOo6eGzv58K49GXtBdYwgoh21J6sHz0gBcCWGdW2+KzAIr/7eYf+ofDquIFKQPdcelwOJGCkyVjIVm/u552nCNU3Tfl6lhY7YnG8vJphoMeYdj10+Fv+Z9B/n/lJtidW6+RnHqjZP54oYC/7ZqFw56bj2WKM6aLmyY3lGKojYHHC/G9F8EY1EPayRRyOVMhLKCgWGlMBg5cvnwW4RpQOR+19mwMnGar5d6GqCeUQjbo1UJPUfn4pIlkw4NKSaEFJGSmVI+VCXtKIVMTAEWQJCanCyHD5+Lhm2Hqw7UMZILdu8zM5XxRsRq2pW+V4zCIJG7VEnF6UEEEUzFUeLPXs1sWDfaTwZ9w3TTee+ZZGF7O9BXXss2CAAGewgAeZ+2QHTL2qP9CNBGCkREmYCL0972V22xHXK3+9Py35yfeaFwFEjKp3wdKP2eKOV/iUGiYzydMXmCyoXYPSS0b4uZda1R5MVKzYXuVAiRgRFkSLP5DZqyShcNewqDPpzkGsLHEqHwhrHovtQGSMyRorVW1GZQZhm2bUfnvCw3ff5BbDO+cpjTdM2lPl6yYxA0Xug+xYxZlEj6pnc+fdVFatCxIigrLDM81z8DCkRI6XKbC4C+57oejJtlp/YXKmR0o3aYxmpiKVN5Bmp0LXXxBAOHDlw7dEKlAwH3S1ieI0T4G2UqgGKdcfp4uSvTsY535zjqVNNrMY2sLKmkRJEzfnlRJJ9FjE7KpYCcL9TmVZJ15BKmklLGCzJuQJIjOWkXh4pKSOVVIvNAXHUD6+P8bs3yuYN6L1/UT9avGmxJzuz7Bz+Wd086mbX5+pYNd6Z+Y6dyVi1f6SQpVM8M95lR4YPTbTpGlJnfn0mbhl9i69rryAiYKQoIafABZc0k4hGoiiKFgldSlNWT8E94+5xTbTkCiV3pWgPP797o7apSp5qu7BVjJSmBmnA3AHSMkTgr0nj7tCFQ/HYxMfc14K1WKDnAcjzNxFE70Hm9gK8rir2OHqWG+o2oHVxa+v9cPVX7akHcCklUhi1ZFSghY+IkZKNaZ76pNoP3Ysqkegr017xrQufkDNqRGHA8CzA+QU2IR8NKfmyfgsG39jjyXhOXHuiJJ08pGJzLodPUEZK1olUjYzEjew9sBlwM9VINStshupYtdC1p3R/KjQCIu2IAUM56fOh4sKgAUmkG49zB52L+Rvn45dLf3F9z27OmzSTntxV7CpWBFkeKfZ8381DfZLs+UbtIWkbD7LyeIgmZZFex3Ud9n36XOPfY//tEp2q9sIUQWSwUx/j9T3Uf4mR0tkiRtVH/BippJl0wvwTbkMqkXS3cwpIMWCgKFqkHKeikSiQtN4N5exiWSXSZvF1kYEmblHUHj+JqhZI6bj2dCDrF3f8ZG2Lcs8h97iuZcCwJuNUdf7c+Cc++v0j7N9pf636sRGVonfM9iEC/7421G1Am+I2ALzPjP1c1VDlyUEWiXgNqfkb5+PV6a8K6y+CSyPFBfcQ7P7BjVv0Pc+i88fN2zBPqy7shutUbsSIeObRpZuX4s6xd9rpEezjQ9de40CU4kDW4QNH7TETgY5rTzSRsR3TFqByA7SfK0xqSGk0MnagoESjLQpbiHP8BDCuaFIQis01XHv2ZyZHlohVMQy1IcWu3mWJMdnzf1jyg/336QNPdx03f+N8AOp2srlhsx2pRvBjg3jhJg+VUJxW10ImjGXz4J9HKgJnElCxoIRRS0bhp2U/ucp1afQE0NlLj8BH7rBMAqBmqACxocZnoeejlshNTFvEqMTmqu2cdA0pl2uvgHHtcYlJk2bSygIdKVQy5+x5tG8iG4kZVMuiMqw9jJSP61gEvzZwcJeDlb/LGBNhHVKMFGvo/P2Hv+OTOZ9gdc1q8TkCpkWWxBVwGBUWHkOqfgPalLSBYRie+rOfn578tGdLHFmb94sSlV1DKjanfuIz5tuGGNc+aPz3A++uj0asfsd7Mt6e+TamrJ5i5xfMZ2yVhhRvNDUkGqQToe4ARRC5dFQJIGWrWlsDklpxPzbJTUn7RVulw0iJyv5j/R8AgF3a7CKs68vTXrZXen6g6AvRYKM0pCQrowKjQLh1BqAejNl3yqaakNXnkYmP2H/zE7ldpsKQ8jOWVZDdR12iTvrMKBOwaHHAu/Z880gZjl5BdyPbD2Z9IDTGpWAeg46xxoLXwr1+/OuSI1Pl++zlB7g3lgYcw4GYC9mKGwCO7H+k9NorqlZIfwNS7cQAflvzG84ZZLnZXXmkRIyUYViGlGrBx7wLYqRoXDnpy5OEdVb1H97g5OvEnq/MdSbbIsZH49SteTfl735Rbq5rmaYdRMBDGg0nEIP7GZ68sVOfdI+BG+osQyqCiKf+dYk62zUu2uUiG64s9j3JtgSTMbG8a09HH6cCy/oCTr/jXXvNCpsBsPRlrvow/XnG2hkenWVTYKs0pPhBJ5aMSVeLslBPwF8jRQjq2mPZCuqAsqyuIqjcPiJGSuU2nFUxC+1L26NDaQdhma/PeN13HycCrZ4pFxILlQuAGCQ2KoT86MmkmlURgX3XMhdbUD1YkKzvgL8RQ3hl+itCA2bwgsH4ZdUvgjOANiWWiyCRTNhRXQTetefnIqYklID+wFgVq3I909XV4pW9fR2fqD0VeNeeX7i9MnN66h9bW8a5LCKGFT2UbtQevxjy1CM1qbOQMVIUkBI1UhopDReaaXpdezL4jS+A2GBhn01lfaWSjQzCSLHfdWrWSV5xeMeSscvH4i8j/iKtg2EYwnFRZpyqNFIiiMTmt4+53fWZXHuGYXj0bquqV+HcQediQeUCodHkx8LqgO0Xq6pXYdCfgzzjtGfrGu57AwYG/TkIn//xuVWmQjeqAv+sokYUEUQ8Y6zsvllD99Ihl3p0lk2BrVIjxRtNCTMh7TR8oxZZ7nxZPERRavbxIlcDI6CWRZ8pV3rJZKDVAH/v7D3M2zAPe3XYy5OPKh3wok4WqrKpA7FbeZDLSRT9FmSFdv/4+7U27PSDn5CYh9/gy2Ls8rE4ZvtjPN8v3bxUeHzL4pYArAGluKAYDQ2S9Ad+UXspt0dQRqo6Vu2aJDfWb1Qer4ra84Pf9hDzNszD4k2L7c+qrVb4hIP0ma6R6y1iEmbCa0ilovYWVi50u2pMx9D100ixCRKjkSjiybi0HxL8DGzA2x749AenDjxV6eoMYkixm/Py6Qp4iN7xzyt+Fl8LSel4wT5TcrkC4qg9ZZRjxMtIuc5PJlDZUGm59uB17RFWV68WGnwijVRQsO/yplE3oTZei8O6HuY6xi/K0jAMO88h4B3TdcaP/Tvtj+pYteta7GKOxarqVcIyst0vs4Gt0pCiDrJ3h70xfe10JE1vnhv7WM4KZj+LzhE1lmVVyzBhxQRhh5XpWNjwbhFUEyCbR0oHsg2cAcst2aKohdB3HxQRIyLt9KqyRYYeO6kFzTDN4qdlP6F5YfNA9SGsrVnr/F27VnGkF36DLz+QBAGrRSiJlmAznEmIT8ipGnQo35AqSkuEzQ2bXeUGYeuCugP4tsE/K3KREUR9lp8gpa69FHPhl/mahU6UElsPfsIgo+HdWe96jiVDKmpE9V17KY2U3+TLGkU8ZNFbgMMuJsyE0oiia+iCNcZLC0pdG13zCDJOibaIIbw0zcnoXlJQIvUsiFKwsBAxUiw2NWxC0kzaGinZXBRLxoRzSDYSJbP9ju5z6eal6Nqsqx1wJNpHUaX78xhSGoxUYaTQMzbyGrZnjnkGt/14m1RmkY/Yql17ncosijhhJqRblKj23vPToBCenfIsbhhxg3b9WP2MLCrJL5Hiks1LhL+JOqLMF04oiZZkhZGi7Q9ECGJIsROIrtZIBaGLVmNCP3bAsfbffpFpomvK9HFfzP0Cv6761f6ONpvVBbti5xOT8gk5VYMbuYDImBc9E5GhXxWrSmtVWGCo01aIINoPTwVVwAQfaUb3QH2GXNOyPDsiBIqcSiY8Ey6f48iuM0xMXzsdESOCwqhabN6xrCMA4JHDH3E0Un6ifDMhT1abdIwlV50YV3Em+j/R9+x7Li0oRauiVtJy/dpQ38/7YvyK8VY9U8arX31VCX79xiBR1B6LDXWWeLxNscVIqQwpEbKxB6po/FpRtQLbtdjO/ixy7Z3y1SkeFzhBNG77oSBS4JFr8M+P2jO7UTWLbO3AkU1snYZUatChlXvSTKIh2YA92u3hey7bmFWMFAnhWOhmmnWJzSUD3oSVE6TnV9RV4K3yt4S/iVZGH8z6wF1P3pAqKLES+Sn2w1u8abFvA1atypSGFLn2mPDabDFSQLCVsQxBDSlZQs6kmcRDEx7CjHUz7O/IvaMLdssLWbJBAHiz/E3MWufdG48QN92MlGiC4rfXAKxJLx1DqrigOPB5vEvVLypV5dqTHUNlGoaBkmiJPaln24UgcjPJIp2GLxqOTQ2bUL6uHKUFpUIRsl2umcQx2x+D3u16axtSKraSZaR6te1lf89uWiwywnZpvQuGnzvcdbzs2jxYQ6qkoAStii1DSuSi9FsEratdZwfRsCknVKDFjOhYv+S6UcOb2ZwFGQRtStpYG3grmDbZ9XOBhJnAds23c30G3O9tTc0aj9icIJOMdGnWRXrNgkiBkJFi77tDaQdlvZNICnW4TYmt0pDiE+3FEtaGoLLVHwu2cYjodGoslBOEhW44ahKOcSDK8QK4I8mCXEfUEVm3QdJMepInFkeLPZsf8zht4Gme7NU8VFmoxywbIz3PTl7HGVK0gWw++MQDM1KShJwiY5sfhDuWdsRBnQ+Sls1OvjybxQ7S3y34TqodoWMNw7DzBokGbNGCAfDex3m7nYf2pe2l1wKsdkaTIJtpXwUPI+UzZOlopCatnIQ+7/exr0/PP4IIiguKbeMt64aUYFKXjUlspNJe7ffC/A3zpeXWx+vt5xI1ooibcd/8W6ZpSpkdagexZMzeCxTg8kgJ+rlhGOjSvAvePOFN+xrCawvOZcfakmiJfd3CqHd81GFoqN3Y2ft9DHBipGQ5t/wywavKJ7dl25K2aTFSQVncIGANKZnYXAaeJaW2cV2f66TnFEYKPWM67xotKygTyjEIv63+DX0/74thi4Zp1bMxsFVqpIhZIReIvaeWxsr/H6P/4ZSjYKTalLTBsip1/hwZ2IaUzqafqoHEb/X1xow3bIOotKAUtfFa+18/1x7tZC69dpqJ0kSuR4ra8ws91kE2qOCK2opAx8tWscKcPpxRUhgtVLr7WNce36aDrF49rj1Bu2pWIDak+PtoWdTSd4Irjhbb/efkr05Gj5Y9fOuYqWtPJbqmtA1suy2OFjuMVIC9zHRA6QxYyAwp1oDZv9P+yom8PlHv2m9P17X3zZ/fSOsJWMZNcanj8jJNU+3iShlzLQpbWMcHYKRchlRBiR1QETSVCl+eCW+kpAgU9FMQKfAYCDpRe7qMFAx5/WOJmHCv1FwxUgDQrYWTakKa/oBzjRNkrj0ZOQAwjBSbkJNZzAGWuL5daTtP2gPCrAqLZZ+6eqr0Oo0N7VncMIx3DMNYYxjGTOa7toZhjDAMY17qXy9N0wSgjkCDFInrVH5wAsvWqDRSqsbiB5fYXLJyPLizk5SOnwyUm6P6jBmTV022/6YJuThabOuRVJA1bDahYSZgk/yxjBSPoAZbNgYiVa4wEdjITBaiiUG0BY5qL0GWkfJopAKsXmPJGCJGBM2LrNUfnwgQELv2AO9g26Kohe+1i6PFSJgJWzOiIybln1dQ11404rQh/jmL3DmZuvZoE3IZPK69qNi1x95Hi6IWyjIbkg32c6Htk1TtB7CeBbvxMQvqLw3JBld6DROm0rhkRftAMI0UOymXFpTahqToWB0tJ8tI6YwXNJ6LnhufmoIH75piYcCwGanWxa2tPFISQ2pVzarAu0JkCjZnlywhpyxBrSziXcQiEkRic0qEy34mY1yEIDq9xkIQOuQ9ACdx390FYJRpmrsCGJX63OSgTkQTDlH1Oq49FiLNEE0WmRpSbNJJ4bWZwYI3tlSh+H6rL9YIo4mENFLpgp5FxIhAsXD2BdtBSCPlp0/QQTYMqaDpDzbUb8Cjkx71fC8aKPn7K4wUKpkU1rgpLnAbUkGi4tbXrocBA91bdAcgztqta0iVFZT5XrukoASJZMLeSoJlXWTgn7tfO+UnWTadAc+Q0OTNGgBF0aKMXHsfnfKRsg/yv7Uvay/WAaUmpVf6vaIVjED3QK69TPJIkdi8IdHgvrapPs/WmtH2R5LBQDQBsixQaUEprux9JdqWtMWBnQ/0HBvEtadKf8CCZaR4JE3xNlME3hDgUROrQWHEYplVUXuvTHtFmFxS+cwzTNbZtXlX+2/ZFjF0/TdmvOH6nvaH/GP9Hy7Wjs9tx4LE5qr0B7S5swx89G0+QHv2NE3zJwC8jP5MAO+n/n4fwFnZqVZm4Pex4g0rFfbtuK9TTjKG4mgxdmuzm/0dv61EOiBGivYYEoGdlPhj/LaiUIGPjgFSUXsB9zRjQc/CT7/iB5aRIro8G2JzEuPeut+taZdRG6/1FUHqQGRI8YZeYaRQ2b6Urr0AjNTMipmIGBF0atZJytYe1/044ff8O/HbSBqwDPeEmbBdan4ZrAEBI+UzcfB1UOn2aCBm85eVFKTPSHUq64QdW+2oNmK46hdGCoV9j/r/ds2301q0Ud8rjBQikUxoic1lsBkpzpBixeaqOtj3LznUrz+3Lm6NXdrsgjEXjkHnss6e34csHKI8H7C2Mnp4wsOAqSefoOuInpvfYs4vaq8+Ue/s56jIIyWDaoHCs20X735xoLJZBlXG9FCOLxFjPWPtDJz37Xl4fcbrdrtRGf60OFalPygwCpRzNdUvqJcgl8hUbN7JNM2Vqb9XAVCnpG0k8GLzIK49tpFTXg928KbfMzE8iJFSUcJsPTyuPRUj5UNjsxMTTcglBSUZrWxsRioSEQ6SomSTIti++FTIcjYSchLal7bHFb2vCHweoS5eh3067oPLel2WdhmA2JDiB66oEdV27fGDVjoJLyNGRGrUbN9ie3x22mee73mDpSBS4MtIlUZLrX0iTf0+FFQjxdchGolKNR604GIXAKxGKqjrgPqeqo5s2yW2RfSuqW7RSFTLkKJrk67Q15BSMCy2RirZ4Lq2X4JX3Wv4tVGK2APS05ACVuTegLkDrGv5DBefnvqpnQZA1CYTSXX6A9orTgTDMNyGlIKRkkG1QOEXr7cfeDtu2Es/FQ87J8qYWzZZKg/SCZevLbfrqTKkRAFE/DxIW43JQO2KnQeb2s2Xtag907oT6d0YhnGDYRiTDcOYvHZtsOSGQUGUve3aS7mzeDeICB5DittewGakfDIHq0ANSbWSYevBJ9dTMVJ+bgXaaBkASgut51MULcpI32QbUkxzuu+Q++y/O5Z21CrHZqRSK2p+T6ZMwG7Omw5IlC9yNQSB0LXHTTiivbtYsBoEnpEKutqlti1bAbYtaSusy+TVk12fZXo2FsUFxRknk/U1pHiNlBFFEkkMWTDEsw0TuZOoTBMmSqIliCVjSCTleZb8oGNIdW/R3d43UPR87QWbEVVqTuxyGY3Uutp1mL1+tvL4dBipqlgVauO1vmy8/TxlUXs+kx5bfiYLViCVvd9nmtuu+XZOXj/Bu/ATm/v1V56RCtquVMfzC+cCoyDQOMeeL9NCqVJvsDnXdFx7ESOCukQdlm9e7vqOrbOKYGDrxxpS6e77ly1kakitNgyjCwCk/pXGiJum+YZpmgeYpnlAhw6Zu0hUOGPnM/DF6V/YIk0yHmTCThbsC4klYp6XStt2ZOraI0NKxCCtq13n2uaB76RB9ToEE6ZLI0WMlE4mZBVYjRR1Rnalo5twkl0RsQk5RYPYWbucZf+t47Ilhitd1MRrUFpQmlEZgJ5GyjAMZfti2wO/OAg6SNth84IJq3Vxa/Rq10vIiPy83J1WQWfCI7E51VHnWfLZpv0YV5FrL2kmcefYOz3idjLSXFF7qedZn6gP7FJm9+yTHpO6VrPCZkqmicahgkhBINde1IhiRfUKX/e/jiEVS8RckyK9c7/62GlMZIxUgGjIIAu8g7sc7PlOFCnJw4CzUbXMtZdu+gPTNF0GaTrjh2rhwRschiHeoFkHsqg91V6yVLeE6TDNKs9P1IiiNl7ryqPHSlwoFYLqnZHR69pTNYcpInSQqSE1CMCVqb+vBCCOp21ktC5pjZ5te9odPigjRQ2RXHuiTqQzccgGHD9Gqu/nfbGgcoF9DY8hpYja21i/EfeMu0fq7xZppHQ0FSrQipm9F/ZZ67hUAUHUXiQq3J7BMAw8criTZ6v/af3x4ckfKssuiBSknZ4BsFbjJdFgovxebXth4BkDPeXw4CP8iqJFSkOKrQPfxnQZPNJ72S4h7v0XRgox+oLRwmsA1uDKarV0GFpKf0CDns6A7xGb+wxZvNskGolKeXJ+s2yqI5B+0lFAj5FiWSbR+MIyUjoLEZaR0oFyL8/U+BQ348Jr+40VfhqpIM9Vt7+dvOPJ6Ne9n+d7HUbKMBhDSjCuyyJwCar0BxV1FRi2aJgtM0nHyFGxLaLnk6khpZozeDw44UH7XJuR8tFI8aB8drLfeVB/YSM9c5kiQgdB0h98CmACgJ6GYSwzDONaAE8AON4wjHkAjkt9zhvQSyGLWpZH6uQdT7b/jiVidkMg196c9XM85+hMHKKknYC1Iksi6Uth2lY617n9VpuD/hxk+7XZQatjWUeXa48mDdFmqkHApj+gTsiyf0EZqWTSnZDTzxXQsawj9um4j/KYoNuw8Ign4ygt1GOkzt31XACWW2yXNru4fhMxUn9u/BNnfH2G/bkwUqhc9asMKV3XHhnRbP4hFqxOS1SXukSdy0CWLSxYty7PSOmAXw2n49rz22eTLZPGiHQMKZuRUgyrNGH4sTqUIkJXIyV7jzKodDqJpLPJu6jf+F4jNZSInt9Vw67CiMUjtOoI6DNShZFC4XOPJ+O+GinDcBbLQjerGfdN++C3SONTQwSBkpESlJfugtEef7l71fGAzN84305arHpnot+KC4pdjCqgNgapnmwbzmWKCB0Eidq72DTNLqZpFpqm2c00zbdN06wwTbOfaZq7mqZ5nGma4s1xmgj0Ush4kKU/YOnruBm3P1PCwhN2OMFzjs6A1bqktfD7JZuW4MPfP0R9vF7Z6DNx7Y1cPBKrqle5BjN+QL689+VoVtgMh3c9PCMtgiv9QQosI8UOxirmiO3IrvQHXMfu2aan67POYKvy2xP83mlpQanv6rZtSVt0bmZFAImYOJHe4H+T/+dyOxVF1Jo1lSGla6RQX2ApdRZsuxRpdOoT9a73Kqpvt+bdcGjXQ13XDGpIBd0iZmnVUtdn0mSIwKc/AJy2WhevS5uREtWxd7ve+PiUjx1Gysc4+mj2RwD8kz0SbENKU7vptwkyGZmievpqpOBozghvzHgDfd7vgymrpyjPfb7v8+6yNBmpgkiBUJ4QT8YRQUS5GPNz7cl2KSBEjahwXGC31wnCwvJQaqQE5WXbtafMW5jC+rr1eOIXi0dRzSXs+2xd3BpfnvGllfGdCZYA1P2c3zMT2IIMqS0R9NJs157ExcR+H0/G7YmjIdGACCJ46qin8Mulv7jO0TKkJHlyKHzXL9/L0dsfjb077I1b9r3F9b1O+oMHJzyIK4Ze4TJCyJ1I6Nm2JyZeMhGdmnXKWh4pGjxZ9o99vqrrUHh10kwiAjEjdez2x+K2/W9znadjBOowUn6TW0m0xHcijyVj2L7F9gCA1TWrPb9vqvcaUrxrpzAqTn9QHC3GtMunuZ4hf66uVoDccjTo8tdTGWuAtThh32tBpADvn/S+K6qR3LOEomiRy7Wng6CMlEe7ZUSlRoNQbF6QASOlcE9c3+d67NVhLyEjpZr4/FzS7UraucoQMYsiqMaQhJkZIyVKyOm3KwIAnLDDCTi2+7Gu77QNKaNAykj5lcEGtchSUfgl5BSd9+gRj+Kf+/8TgDfVRhCwhlTbkraea4vqEwRvn/A2AGcs4e9VpZESQclIMc+pMFJopxbi+45qwUpzGmtIbTGuvS0R9EJpew8pI8UMFolkwuPai0aiHkGzjiHFhvHKoGowrYpb4aNTPkKPVj2sYznD0A9rata4Jq1EMiE1OrIStce6SAqCG1IA8HvF70gkLfG7KOfIfp328zAkOnXX0Wn5GVI6YvMb+tyAPdvvCQBYWLnQ87sqAoYg00hFjSiiETdDwTM2QxcN9S2/d7vetrEncx+z7VLm2uMZqf067YfbDnCMXN51XRQpspP4AXqTCt/WI4jg8t6X+55HoC0pRLDTHwhce7Xx2qyGVNNzEDFSuno4HqfvdDpO7HGi6zj+PbI58FioXHtJM2k/G1G/8WO9RGNakKSiLHgj8/gdjheeK0tBkDATvuJlVgcri6D0Y6RExnBxtNjuZ8SY8PUIOu5+d/Z37roz5Z2x8xnCa/hh93a7A5CnPwi6oFAtbNn7deWS4lx7Z+96tlW3trt7ymC3MCKEjFQOQR1r5JKRAORRe2wnjyfj9mBaUVshXS3qdAC/7SIAdaOnAYuMIVsIG/dnpAArdxLbCRJmQjoIZi2zeQrsM2X/9rvORYMvwpQ1U1wJOfkNLtOpu47OxO+YZoXNlNf67NTPcNWeV6F7i+7o0qwL7jrIm+hfZ6PeoojYkLJXa0wd0klKt2e7PW3Xq8wlxLZL0SRYF68Thqnz5dD7YhNP0iSuM0CLXHt3HHgHnjvmOd9z2euLIGKqaLucmlhN2qtc2Ya+gFhsrjJMVL/RIg+Qv0dKscBD5dpLmImMXHsijZTOQkZULj8+yvpfQaRAmgNKx9Wlcu3FkjFfjZTovIJIgb3pt2yiD9rG+PfB3tu1e14bqCwCGTEy115Q6MoS2IUKLzE4tOuhKL+yXJjfTqSR2tKj9vIafKejjTB5sC8+bsaxa5td0aNlDzQkG6QdV2diJkOqVXEr3H7A7cJj/Gh9wOlsdhSiZvqDDqUdXB01aSalaQ78jJGdWu3kW0+XIcVoknhG6oFDH8ABnQ6QllfVUGWHxPIbXKar5dJZEfsds3PrnbWCAwzDwPDzhturKhaZMFIiQyoo7Q5Y74veD69N4K8FiAfGukSd8Bg2dQMrwi2IFNiTPLmV2LZ54143eq4h2v9RxrzIoGrXDckGz/ukXec/mv0Rhi8ernUNgr01ioDJsuuRuhw7fihX8D56E76dsJ97tOxhbZQrgGzfTCClkcrEtcdsEbO8ajm+/fNbrf5HRodO2aI6iX6Lm3FfhoaN2pMlR1Wxk5RAmEfUiNrtyZ70A5CcLx37kuc7ft5h23eQyDdRGbLEtUGhuj4r+WAXHLLoYdFzJbaU3cJtS88jlddgX8rtB9yOjmXixJCsGyqWsLaF6bt9XwBy61zHtUeDR7OCZrhiD3FWbVWjo2tQJySDRNe1xzJSBgxlY/Nj2FoVt8JjRzwmPpdJ00CdkO3wrFEVMSI4b7fzcPh2h0uvZW8RE4lidfVqvDTNGVDSdUFmw7XXo2UP5fvSGcB0GCnZXnuigbImFpyRKogU2M+Dp9TtazGTkmgwa0g0uM5h+wPLUNIxLGNAkzTt6QaI34/ofYiMSRX8GCne/Ui558YuH6tVvi5sIzuAa4/Pr8PDNE27ndBxutGpH/4uD/pgGSlRkIZfP2En5pO+PAl3j7vbY+SINqXVzQcnQoFRIHXL+QWIRAxHjC4yXGPJmC9LI2qPIkYqSG4yNlCDoFrw8G1MF7amDUncPuZ2vDL9Fd9z9uu4H67a4yrhb6o+16FMnEPS3l6IW+iLnivNh+z+jKFrL4dgX8p5u50nHXyv6H2FLeIjAfiOrXYEYOUBEUFnRUyDMtHC35/7vecYpWuPY6RokBQJRR889EHPd21K2tgrz8JIoeUmS4oHBL+JyYAhHUCpE7D3wk4OLtce9Do7rbZ5wXa6iVB1skOrJoiygjLlVhCAnpGn5dpLbW7Kg+hrdmJIl5Gi5yHLP+T3vOoT9VLWiiZ3NglqYaTQPsZ27THuEtH9Cl09JKrWjE7j+2mf9n3ww/k/2PVwtUPTYaTSgb1nn8i1RxopwfOWtWm27rK2ZUc5pcqXpXgJgpVVK3HV0KsAiA0zti6X7H6Jx4XN5uEj8K7EnVrvhP067uf6js1Lxpcl+0xgo/ZIgA+kxk6/9Acw7LYoc+2pDCA+iIdQGCn0GlIc27N/p/3l9dLQOrHl6SSEFYGOT5pJDFs0TOucgkgBrtnzGuFv/DNk83uxZIbKtWd/LzBR6F24EnKGYvPcgR1sCyLy1PklBSWuSLCoEcVOreWuLL5sEQafPdiO2iPjpWvzrh76Wse1R+H+1HDr4/WeBrdXh71wwW4XuL4bunAoTvnqFADWxMjuc8YjE50R2wmokbMTMfs3DXY6eVdEmwSz980PxCropD9QGQ80oajqrWNc67r2RLAzgjMLhHQ0UiwjRWXy7Uk0qbGoi9e5zmHvndoty6iwjAFNqr9X/G6fI1vRA15Gk7+eCiKmjfpgQ6LBI0RW7TqvDcGcy2uk/FyngHuMEd2vCdM+195RQCPpsB9GLhlps95+rr3iaLGHTaR7ZRcNnqABw7svp/DZc91NykhFnKi9omgR7j/0fgB6UXt+6Q821m/EGzPekI75MkNK5Npj73n0BaOFOkqCzibwrAERVGROe2iyhpQuVDtFsOPTD+f/gDsOvMP+3KnM2Y43XdeeCKFGKodgX3RBREz9io6NGBHXCxfBjxnp3rK7h1ECvEJxVScnw6VNSRuUX1mOo7odBQCoTdR6jBo28eANe92AjmUdXYNXYaQQdYk6KYORiSFlTxIsI8VOAsxztylcDbq9a/Ouynq+ccIbGHuhngtGx7Wn8y5U9dZhpNhVuux6MqOPzXZN6NGyh+81ebAaKSqTb8+yCFdiPEyYbuPJ8DIslAuMvqPjRW1Q9FxtQ0oQrKDt2uMNEMPN9EaMiOvamQRdsNogHjwT65degq+7bBKne6FJUHcXARbP931eGg2n0upRHflnRvfIGlL8uMcaLwQd156s//HjO/2tJTY3oHTt2YepFlESsTkZh9f2sYTgbNsoKyhTLsh12iK/+S+g59o7fLvDsUe7PazzENyQovQ0IrD31Lq4tasNuRgpeBkp/p79PhNCjVQO4ZrAmUFdBLaTRIyIVKRJ0HExUadkGyj/wnU0UgQaaDY3bPawJxEjYmfN7lTWyTM4++ka/IwA0f5v3Zp3w0OHPWR33KgRtVkiqbuCESWrEDEi6NKsi7KexdFiadJTHjraEZXIUiSo55Eupc6Dwph5kEHODpSqFa0MhZFCV4oPwPv+ZS6i9056z/5b6toTMVKRAtvom1kx01OuyrXHvrugW6GIGCn2XAMG7jjoDpy323nCLUaCQOna4xYbMn2ZrO6yY2jSsncUYIwRXT1Op2adpC5Nv3GBDf2n69E7r2yQM1JsNnGCDhuo0kixrB/VwS9XH2AZBbbYPA3DRrafH3lByq8sx1/2/gsA5z3dceAdKCssU7ZjHTaGXaTbi1SNcYi9T15srgPVfMoL4F3pRQpK7LRALteeRKspM9J5hBqpHIJ/CUpGiluV+q3sqCyVC6TQsIyXdP23vPHDDnYiRorcPM0Lm3vu3c+QSIeR6tWuF87Z9RzXauLZvs9iwOkDpCkPbNeehkbKj5EKAp0oS9V7so2DgKtSFUSD9n+O+A86NROzobz7oWuzrlLmyO+69H54Ror+lbEDrpQHkolexkjt23FfFEeLsap6ladcoWvPEBhSELsAZCwefxy5YViDvn1pezxw6ANaOjoVtKL26FimHUlX9hHvZMfCNB1WkDQ+7LgVdGIUwdeQEjFSAteeMLEqVz0djZS0nlx+tSB9kTXq0lkoUQJhT51EAQLcddLVfBJYA0LkGeAh0iKxYnNdsKk3eLjKhncT5fsOuQ8AZ+inDuHLFG3KLELo2sshPC9F1cAYv26QLRlUdLSIkZKVI4InS3Ekake78IxBJBKxI7haFLVQGpEFkQI8eeST2vUg8IYNL6CNGBE0K2zmSaLGdgbdVVPEiAhXyenuI6Xj8lCtanQYqaCpGUTH67yHdAfhvTrsZZ9Hz4P0Smy+J0CutXHp3TgXD0HESBVGClFSUOLaNkN0TyyUGimuj8qePV8uCVRV7zPdfDwq8G4XHbaJlybwYDVSNMakIzZXbsgr0WbZ9TK82lO6x9FLR0vLjSCCS3td6vpOxEjpis0LI4XCCDb+bxFcGimVa09ybROmMK2MaKyiZ50tQyqoa4/mK1H0X9DNpFVGLXucNBeY6f0ubUYqdO3lDpkwUrplqwwpXr+gU0fR+SwoEpCf6KJG1F71iQwplm25Ya8bcMpOp2jXA7AacLcW3TDivBG26J33a8ueb8SI4J0T38GFPS+0feR+BlHUiArvP11GiliNH87/wd47kWcxVIwUGRh8R/7g5A/SrpvoeekY8aqcNyrQIM5qNygnGQ1+tLKTJa8llpWvq0wjxaY/AIA92u8hLFc0QNK5QkaKmwj8otoIdH8qzdut+9+Ko7sdLSxPByqXmlBPqOHaE2k2TZiO3ouS9qYhNpeJpQE5E2bXUcFI8ejZpqft+jcMA6fsdArKryy3f9fRSMnABhMZhuFhRXiwm2mzeaRUzLXsvkzT1BKGAwwjhewYUi6xOdSM1OHbHW4/Y54N99uPkIdKI+Vx7XHPxha3MwyYbIEduvbyAH7Wrew3nQmR3dvqnRPfUV5fZUgpo/YErh9KKsqvPKNG1NZINS9s7mm8bPhxOhM4dc7OzTo7RgUxUYL0BzwO7Hwg7j3kXk+4tswlI9JksdcKCrpOh7IOthFx7yH3uo5Jh5Hq3qK7/XdQ1166Wdpp9aXjrmTBGmDE9pE7mG+rpYUSQ0qDkWLbB68JkiV2jRgRlBaUusTzdK7ITazbt/k+RBOZLfqXNNl0mE/+nDbFjs5SteiQsSBs++/esrvnd9N0DCnRHpe6SJpJ6Tiko5HyTH4QT36ssSN6X36RorLzAKuNBGGk/rbv31yfyYhQSSBkYw9tsq4Dm5GKOExttsBHhvK4vNflNhMt8tbw89Q/9/+nvcWN6Fq69yzbFseVukGSGJiH7Jqhay+HCMJIiTQLrx33Gh45/BHf4/mtYPgNRJW7d2vkkWJB1+K1MREj4mikipp7qGa/aLEgbIosRFVnhcKfQxN2+9L2nmuIBpl0XXusASDb603HkFJN4IEZKcGgoWqjNAhSRt+gq1mRIUUsJpVFRppsQpZppESuKl6LBMhZBwMGJl4yEQPPHGh/R3tksvvFyQwp2bvj3wmfg2Zzw2bxeZr5zljQWEETxN0H323fL+92YctlWT4W7D2KDCn2GNu1l4ZmTpaZG/Bv06JNlfmxlNLAsJGb7DEvHfsS+rTvg+2ab+cpX1U2i5ZFLaXBDyLwejiRxsyvLgTTlD8/GbLFSLnKVBip9D31axHzwxtS1+x5jXRz6yBjnYxlEkXtqcbXIWcPkWukwjxSuUOQnBQi197h2x2Os3Y5S3w80xj4zvDVGV8ByLFrL+p17ZFGSsRIsRNNOkyIS+fE+bj9OrBoMqJncvwOx+O5Y57DDXvd4D5Hxkhl6NoDvDoFvk4isEkmZfUJYkjKjlfdH0Ux0n5wvdqJ9UYy0MDFuvYIsghRHqxxK9Pw2M8K3szcshU/rXDZZ7KhfgMA4Jxdz3EdlyrchXal7YTl8s9Y131h11tT99anfR/s3WFv6xoC4TLfB9hyRVsJ8cdc3PNiHNz5YNfvbAoKmkhcYnPNqL0OpR2kBqNfvryoEfUyUEwfMQzDbmtRwxGEs+ccvf3R+OTUT7Si9mSbafNyBr8FDt++/7HfP9CrbS8c1vUw+bUlfTOISyzbYnMWOillyPXLX7c+UY93Z73rOUcWzRlkHNYJGJDNIfS5U1knbN/Sy44VRApQGCkMlDE+F9iqDal0reYgrj3R8bu02QUAk8uEsZa/O/s7DD/X2cNL1fhFCSltRkogNv/v0f/FwZ0PFm6umykjxd4vHymksxLiQVRsSbQE/Xbo5zFiZIxUuoYUWxbV24CB3y7/DZfsfon9WXp+VKyRctVZMukGcZuoJm4ypHZstSPeO+k9/Pugf0uPFYHVSPEDJP9cZftSuvaIkzBSrGuPv0fZip/Vt/BoX+KwldRf+CiwqBHFQ4c95DmXf5404D5+5OPCehDsNAuaGdRd16CcRFz6FRZsvz+2+7G4sveVnnLY81uXtMZrx7/GXcjrJgnq2nvj+DfQrUU3OSMl2ZvT/l0gOubbOxlIbHZ7XQZHFbU16vxR9t8tCltI3aWiMYNvh7u12Q2fn/65HZovgtSQgqltTHnE5gHa18enfKz83S9qj2WkdGUIMiY0I0Yq1fZFWdk9m6fDCWRiPxN6tumJqZdPleZBayxkzxzOQ/g1lqePfhqHdDkEgFzvIYMOEyFabezQcgeX0aAaUMggY0GGlEhsflS3o+yknSrXR7oiZ/5Y6gi+WxMIbpFcSLxYlhAxvBuyKq+hWWfA7doriBTg7/v+HcXRYkSMCN6e+bbwfNv1lZTnAZM9Q8MwhNmuVVF7tGURoU/7Prj9QGfja9XWEjKQAVlgFHgy7NO7vKzXZSgtKPVEVN154J1YWb3S5RJxbWEiiNqLGBH7OuQikGniVO+1bWlbz3E7tNgBZQVluH6v6/H81OelZcgYKb/27mKk0vQaiBgpWZi9yGDh27/ITWmHrpNYmnk/OpM7MXnsFjNszie/5yTaMYKf7JoVNLOPpXaSrtaRLZvN9deiqIW9HRbLhOqUw0K1A4LsnKSZ1GZE+PcfJNKXom5lsBe0kmcbMSK261d3vL+i9xX4cemP3rICvD8Pix+Ru/ZkjJTsd929JXONrdqQ8utM7Ura2SuQIIzUObue4yTfM81Arhu+fJ1QVRbk2vOLbuA/uxK3ZUkjxQ8K0g4s+J7PX8T7uCNGRMxIpTkAuwYsckmmympe1By3HXAbXvrN2hy5TXEb261EIB1LfVKemV7KyEnqrHLtnbrTqYgYERzY+UAkzSQ6N+ssuzVtsKthvm2RYVtWWIa/7/t3z7mX9b7MVQZbV0ActWfAsNsrMUhS156iH7AiZOp3zYuaY9Klk/DH+j9sQ0qH4dPJFwQ470yo74M3maToGiJWROZW1slDJDKk+KzUQV1F1A+p7D3a74Epq6dI68BDZLTwn4mRYrOPp6t1lJ3XoqiFa19Ov34pK0cl/s4KI6XZ/tKBX9RexHDyI+q2kwM7H4jyK8vR5/0+7msFeH86jJQ9h0g2LRZpCwG9rb8aA9u0a89l0LCZzX0ey3Hdj5PqQ57r+5z9t05EhqyOX5/5tfB7crmQ4JjgN+ju3Gpn6bGqethg2i+fH0vWCVRlEwMlNaQgZqTSHYDZOth71ikGRh600pdFJAE+jJQAKsYtYkRw6k6nomNZx6wYUQDsRUPUiHrqpNprjIVhOJtXy1wpbPJSMqQozYKfa092TRlYl6AwuzQftafJSKlce7ptUDS+UNtSae0IOmwFLx9oV9LOE7hBeProp12Z8NsUt/FsMcTLCfzGBVGqFd5NT6ykSyOVpiEhM7hLC0qlrmbROdJ8VIqkrCqxuf1efYITdNufCi/0fcHeV1WkWZTVwYAhFZsHRToaKepL9qICGq49Jkdh6kAXMk2imy1s1YaUzjYkor/9BjDDcGdrZc9lt5nQGQhFdezarCt2br2z4GjHtdeQdO+m7mdI/d8B/+f8JjB4glDh/Opalm1aBWJA6BxWw0V1zJQ5Y8HWTTaZqVgG6uC7t93d3hCVL0PW3viBjYwJHVdUNtClWReUX1muHETJsNV5vnYOJkn/sV17iGgzUum+V3byED073ljVZqRSv4vq67fQEl2D/pYZrOm0BZYNt/uiYeBv+/zNVQ9Cl2ZdXC7bny76yWaLqBxR9Kzs/gDgmO2P8bryOLcxMYou157m+9YxOOk4ViOUTUbqop4XWedouPb87ot9T+mib/e+OH3n0wG406/4aaSiRtQ2RKhfposg0axUn707WsEY1AZEmxbL2Cupay9kpJoers4WICFnBO5srbLj043IUJ1HHYAPS/Wj19ms0qJVdloaKW7wkHUu0fPxuPY4jVTQCDg/sOfxTJoOLu1tTUCGYeD83c4PVB9+YKPJOd08UkFBRip/3zfvczP+e/R/Xb/ptANaBfppAyNGxDb8fV17gsF/wOkD8NmpnynrInM18ilI+ON1NVKidAJ+iSNtUT/Tz/wil0T18WU34BhSbHJDXYNeBH6CFS266P66t+gu1kgZBm4/wNHzCV17ASZivmwWB3dxIhlljBSLc3c9F1+d8ZWckRIYUmx7HnX+KNe9Adazpx0n+F0deNhuX5/2xyb6VeGQrofYf+uMw5saNgFA1lhuHo8e/qjnu8JIIT499VO8eOyL7voFyGwuy5GVLxqp0JBKQWfvK+dgxs/LbNPAI112QcVk0eqOTbAJ+K/cIkZEavXLvnOVL3Bh8aurIFFrtmsvNdnwA7iKns4UtkHBNX+6H34lf9UeV9mh7Tx0NFseozbFDIkM5lwwUtRWeEPqL3v/BSf1OMn6DY4A3w8iRoqFbUAYznslAbPUtSd4jru33V2aCZ3AulRc7hxDbEjxkaYyUDsT1feAzgfg8K6Hu+vhs78eLwoXGR/pgM4TZbhW1YeHjFERLbpIP0hbRonqzk7qxFCxhpQ2I8XdC/+c3zj+Dfx2+W+uevC6Lfbvc3Y9B7u22VV6fVWkcMSIoGNZR3Rp3sV1bIFRgO4tu+O9k96z95GTQZe52rfjvsrf9+6wN57r+5zb0+Cz/ZZhGNhUbxlSokz5Krx23GtaxteZu5wp/H7P9nvaYwG/EAfkAUuepM+hIZV/YAcAWX4cESKG2+2kk5k4CFTn8XukySBa8aqi63wnFgEDx6YRAORGhZCRItde6tld0usS3HfIfThiuyNc3wetpw5krj0ZlHtQGcCx2x+rPD+Iay+XjJRKG5ZMBmCkSCMleUesnow3kLPt2pOVQc+cnxizwUhFjAgu3v1i6blCsTmz8OLrKquPzvjBu/ZEZdtgmiHPqklF8IKy7jzwTpy767k2+yDUvDB9i9pAQ6JBa/PvIIgYjpZSRyPl185E7ZPfjYGe1RHbHYErel+Bew65B4AVSeu3p6foOfc/rb/LRacDwzDQr3s/V/vWkbJsrN8IAPZWXbo4fLvDXYsHv2vxCw2+HoAkIadgD0D2evx1s5kZPhNs1VF7fmAnftavr7VaZcXXMhdHGjlo/M6jDnBQl4Mwq2KW9DghI6XQMvHH79J6F8zfOF9cPy7RqO8qS5T+gHPtFUYKcUHPC/Dz8p9TpwRfVetCNmnIoEyoigj+d8z/lIZtU2ukKDBB5dIkIyuIIeXHSEUMJ0qIRM1BXHs6YI1iDwNkKjRSGvmRAHFeJpbdFdZJ0L54jZSOweI3SbAaKZ2UKjTefXTKR+hcJmYXIkYEoy8Yjb6f9wXgbQ837HUDjt7+aBy9vbMXoV86FWI/KuoqbKNKl1nm8xj1ad9HciS32It4nz17TCDXnkQkXRApcKUk4esggmis7N2uNzo364wlm5coz/WDXxqaiBFBr7a9sHTzUnQo8+Yo9EOQsenFfi9Kx0RRm5W59vzySIWMVB6AtX7ZlbOOIaWjqcoFI9WpWScMPWcobtn3Fvu7QWcN8hwnZKSIJhVMInwDlm0NwJZNg8LsitkAgO1aeLd4AMRMFW9I2fVIvZOgEXAsLu99Od4/6X3p77QVhSr5ni5oRazKyszXmXKA+bmDsgVi/1Q6KNuQ0giQYBmAU3c6Vfo73fdnp36G90+23odsxZ6uy5YWQDu33lmoefT0pdQj143aY+tL92rA0KqvyNXIp96w65uOIQWv2JzqJ4It+u2wNzo1c7t22AmevWe+XqKteETXY8+zDanaisCuvdN3Ot1mN07ucbJns3VRPTyJYA3xMSL4RdICPptSa0bteVxYWZAs+GqkEMEjhz+CAacP8GxrNumSSdrl66AwUugJOlCVI5Od8N979Kah2LzpwXYatmHpDLLsACbVSAVItsbCr8F2a9HNVXc+eaOoDDbSUIeRonB1O0u1QCNF4wld/8jtjhTWVzRo2YYUx7755ZnR0STdfsDt2K/TftLfbzvgNjzf93mPDoEiLo/azkpqKlo58dAx7GQaKdGAnAtDiqBipIII8Nn0B08c+QTKrywX/k5tZo/2e9htRGYcpMtIbdd8O7x5wpt4+LCHhe3a49oLmEeKde0d3e1o+9ygeiN+Epbly9mx1Y64++C7rbprhHZTPV0aKSbHHQudyToC9zY9OoaUamIEHGHzutp10s2/ZTAMw04+S5osHbDlk9ua/V6lI+LhGcdTj1WYViENRipVWMbQyWxeVlgmFMSXFZb5elBErnPCkHOG+GZeF5Vjf5dqxzzDxBuH/Pif7hybbWwThtQOLXcQfs9uFspqBnQYKZ38QX6MFLsZK4ug7h0drQ0b+qpzPFHq9t5TrCuTyyP10OEP4YvTv/AwPCrtFA38suzN6UTt3bTPTdZ1fQaz4mgxju3u1TXt0X4PlF9Zjp5te7qupdRIaUBGRze2IaVy313X5zoc3OVgnLKjfMVP8HXtKSbLXNzfIV0OQVlhmats1v3CIki+LMDt2uvdrjcA4MQeJ2oZfiKdjj2RShgpdmHmN37IXHuyxYaOO1LoImWga0ix905yhKJokS9rooKukcIHHlDGc/a6Qa5PZfFSBlF9dCItgdz2c5UhpYKf4a46f/sW2/tmXieoFvI8w2SLzCV7bAbZ5zCX2Oo1UiPPG2lv8sqDHaiCRO3xGglqBHxGaJWFP+3yaVkVXPJQ5anR2SKmT/s+eOLIJ/B7xe8Ys2yMsCwaFFoWtUTLtt692SJGxJq8BbfZd/u++G7Bd9ijnTsqy4/6V3Xmv+79V/x1779Kfw8KXiCcLlhdhgnTYaQEg0AuNFI0wJH7WqQr6NysM9464S2t8mzXnk+QRS4nCxFEucLSZqQMr2twh5Y72OzbxJUTA9XHL2pP1D91XHv8ooYtizUs2CzoKkSMiLINily5fgZFUbQIDx/2MPbpuA8Gzh/oqmMQBJk02fKrY9XC73XhMaS4/HksfI09SbDDTXvfhD/W/2GLwTNBuvrS4mixZw9LFtkam4TtxRAHh8ieZ2lBKWrjtZ5Ezk2Frd6Q4rUALPgVHw04fp1BtGrj3Rv0vQzZpCT9NApA8Kg90zTRuVln/LH+D881yED0MzDIkBJd74QeJ2Bq96mejuOXsK8xJmc+rUOmqx42p1EsGXMYqUbQSA05e4i9V90TRz6BoQuHSplQXfi9I3aLmMaEq7+Z7rrw0I3ak7qA+LB8EbsoETyrPpsw7clBx5CierB5pGSPXclIMQam7J5FYxzALDgUkYNn73o2AK9wO6tgXgH7fjfHNnvqFWQRy4frq7KY625hxZ+7X6f9MPaisZizfk7GyTKDuC1Z+DGgKqYyCFSMFM+K8fdCaXPI6MvUW5AtbBOuPRbfnPWN/TffcNitDFRg85RkylYIyw/YSHUMo4gRLGqPr4sqs7lfvYJEyPgxUkGezVdnfKV9rAjZesc8u0FiXlG52Waktm+5vd2u25W2w2W9L8uYCaU6+rm0ZdcJGnodtF6iuhB0IzZ19i0LUh/e2BC63lO/k/vMz5A6ptsx2LHVjgCAS3a/xHMtgl+kGlsvUd38oMojJfs+SBsM2l75hW5VQ5XrNyCgay/ivBuA6beiInyKtRkpyUJ697a728Ew6UJ2bzrzmgrZMn5V75Nv8x6NXipwRjWGNgW2OUNqp1Y72X/zgyy/XYIM2XLJyRC0wQoNI8FgmklCTtH1/FYDfqt6VdnSgThAk800Ki/bGilajdOqy4/F0MXXZ36N6/pc57leruD3Xm3WQfKuRp0/yhZu56JeAKOR4tzrugk5/bR6WsJtwQreLyGnCdPO+6XSrEy8ZCLO2fUctCpuhfIry10uN9kCQIeRMiDes1AFkdEpe77pMPG6jDAxOft23NetkWIMKb+klSLY4wA0XHs+GizdPfkyQbquvcYypER9ShbFzdeJjqMgEH5HjKbCNmdIseBfGkXupbPjeTYRtJMJV4TchJw0k0pGSnbPQh2PYK8kEdJ5RpmIzbNxfQBoU9IGAHBBzwuwXfPtcEXvK9Iqx0bq9XhWtlnSSO3cemeXSDzXhr4fI0UGgKoevHGajYlFpJFKV2zux6YGZaQ8YnMFI2UbUgpGqllhM+2tYIIIrHOp2wQYWUAORMIdyjrgyzO+xD0H3+O6vtC1F6C9UZ09bVbBxMnaV5CtmFi83O9l7WPT3SJIJ6FnNiAqh9/EXnYs5cTLN0Zqq9dIqcC/NGIwdFarQZiRXEMVTkpw5ZkJQMWLzgnq2gvSAf3cQoFcAmlOzqfvfDoKIgU4qcdJuG3/29Iqg0WQ55DuYMWeF0HErZnJMnwZKQ2xeS4GQBcjZYoNKTuPkw/zp2Jv2d9168P3GQ8jxRhaNFmkm7WZr5tfoka2XtliSvxce0FY3iB9nvR/LPMlzP4d4DbtslJtZ/sW2wMQJwfVedY6v/M4qttR2sdKXXs+bKDfc5Zliw8K0b3zm9jLjqXjKGAnX8Tm+WMNNAF42r9VkWVI+Q3yQejvx498HJ+f9nmgegVmpDTE5kkzqRa/yxgpRYi+LiMV5H7ygZGKGBGcutOpWQsIIKP2kcMfwck9Tkavdtbm0aLJJN06B9kGI1MQre6X0V9Xk5MtiFx7sqg9X0bKb98yjTYtigqWMlJMW9NhpFTIZJ/KbBtSfHkUQRekjR7T7RgAVoBK0OsD1n58fvVi4UkSTFKG1OJkn4774Oszv3bp0gh++442ZfoDX0aqkVx7QkNK07VHYyalqKGUJE2NbZqR4htc65LWAIDNDZsFR7vP0zWkTtvptDQqFvBwDYYpXd2XaKWqu6r0S64prAent7i+z/VYVrUMQxcOta4dwPZvjAg/HdC97NhqRzx19FP4ap4lgs+m2Jx9xrl27bUraQdA/v519lPLRbSN6H1Lt4jRZAwyiR4VMVJSjRQxUqzYXCMhp+q6trFqADD1NFLZgqyf9mjVA4ATxaeDXdrsIo0YlIHtR+w2MzoaqcJIoStflijFxM6tdxaeq5JPAMG3pyqMFAbWeqbbZv0MKdY4zGSMUbr2DLVrj3Bo10NxWe/LsGPLHdOuRzaRHzNNnoAYqcr6SuVx/BYx2UY2yqYG2Kd9H/xjv39gx1Y7KjuKHyPFnsvrPWTgN/nUgb2iS9Xnlv1uwVNHPeX5PUhZeQMuI3I2E3KK3k+u0L60PQBgfd164e9+CTsB/93t00GQqD3dhJy6jJSfUezZtJjP0MyE2J++8+kAgOO7H6+sowyZuMUz6TM6kX+n73Q6fr74Z+zdYe+0r6ODIFHIPGTuJZ1xzK/dBGWkJl06CcPPG651rB8yDaIiZhDIbIwRis25Tez96lQUKcJOrXbKmzE+NKQY0EaOfn5XlpHKpovi//b/P7v8TEGNtXOzzriuz3WuMtPKX8RUSXdg0Y3uc19GPRAFcu3lSfPmXaG86Fx0bFCIGKkDOh2QVll+oH6ytnat8HedPFI37HWDK19ONhgRke4p04ScmaQ/EEXtycLfqe4mTOzaZleUX1mO7Vtu73sNEVR7rcmQdUZKYcjw+7zlAnR9T4LHgC5ZwGFJdPZOZXPGiRBUbF4YKQzs4s3G2CnCLm12wQOHPpBRGYC4TxEDKNu0mH9v6bq9c4Vt2rXH46KeF2FTwyZc1usy5XG6m5YGRTatayqLpUp5nQaLIHogOwmgj4HEh3xrFu66Bo/G0EhlG7xbh7YjEmURTte1x06Spmli0FmD7M1isw3aO420PDx0xObRSBQ7ttoRM9bOyFq92Gdw10F34elfn/Y8T11GynYBIYLTdjrNw1IH3iKG63t8+6brZcPlmVb6Ay4JbSAITmlqpoBl5EXfB9GL0jmyHTJU15chl88n3bFTZ7zMhsGt2jRdFrXHG07pur1zhdCQYlAYLcTN+9zsexyf8C3byGYoOLtKV7mU/PKeuI5VGGQsWhS1wOqa1YE6XzYFj009mBMu73U5Hp30qO0SIxeySIuXdrvibpUSNeYCh3Q5BH/f9+84Z9dzhL/raKSA7Lsg2QH60l6X4tJel2JWxSzXMbqMFFv3x4983PN7YI2UT0JOSppaE6vxLdcPdt05V3Jjis1zsdVREJQWlOLdE9+1RckEHdeeR2yeWmS2KPTPOE4GgdS1p2nIZ4J0gw0aayeCIGJzOpb/PmSktgJEoN79PV3YDVmzPTcrbObaR4qFKPpNpVkKkvVW1635cr+XMXThUHRp1kV5nOg6MuMrXxipAzodgMmrJ2sde+HuF+LC3S+0P5N4dFPDJs+xaTNSAjdSrhAxIrhhrxukv9uMVCO7VkWuPV68qs1IZSjM5a/Bs0T8+ZS7jN1gN11IJ9I0xebjLhoXWMKQD4uYAzp7Xds6qUhkUXuUsFkFm1mR7LOq2vA4W5CVnWn6g2whUNSeZA8+0X6hTYnQkEoDLo1UFrUFQdMFDDxjIBZULlCW5Zow7IVqgIzagtvTFZt3bd4V1/a5VnmMp+wsshi5nMjfOOENV2RPEKiicLIhNm9q2OkPmpCRIvDP02ak/PJIcdGjnt91XHuCiUs2kbYtaetbni5kEYHp5pFKZ4eAfHGr86AxQdX2+Em7PlEPAGhe6O/ao+gzP7F5Thkpma7PZzzU6Y+8QX3M9segfG2wiEqVIeVxqyJkpLZaGEZuNVK6ZXdp3gVdmovZHtuQYgbzm/e5GfM2zMOe7ff0HJ9W1F4OcgH5lZ0vrr10RKAEldg2Gwk5mxp2ZvMs9pHCSKFUk0UQPQOZRipTI1vnfFF9ZFqkbBpSmTz3dPpM6+LWAIC9Ouxlf9fUrj0ZdBJy8pM2sf46Gqntmm+Hk3ucjKv2vEr4e9D0B+lA1jZ9FzZpvPsXj30x8Dmi+lHUnq5GKmSktgLkfIuYLBgAIkZq3477YsyFY8TX9POfCzKb5zJ7dr679jIBic1FyAeXSKbQEZsDwe71xwt/9GUAhYYUxwrp7rWXq60nZOkPsjkxeDKb+4Tks/VKB9s13w5fnP6Fax9TP0avqaDD+vNGIGkZdRipaCSKp45+Svp7Y2xpInXtZbhpsc41dKDMIyVx7eU7I5WfM02eI52NPXXLZf/NBDpaABb8hEMdXik2zwUjlcVVUz65u1iw9/DpqZ9i0FmDMi4zn4xGe9PiNOs07qJxGHfRONd3LYta+rI2tjCV0ad4XHuS9ANBoUqRct8h99nbiNx+4O0oMArsvcEoKi+XBoY0ai+HYvOebXu6IqmC5F5qTKSjkdqv434AgH7d+2VeAS4AoDHRWHvppVMPWyPFactk6SRCRmorQMRw9trL5gojqGtPWVaqjLICf4EkIO9E3Zp3A+BOoEgRRju03CGTKgrh69oLYPvn22qYxTHbH4O92u8ldLOmg3wyGnVXi7I6p6PJAZjNlBkjyePaC5gQUVZHckXY5TLt9YKeF+CCnhcAAM7f7Xycv9v5nuNE5T582MNoV9pOq15B6hxEI5Ut5JNhz0JnscpP2n069MGMK2ZkZTwhRjSbY9MJO5yACSsm2J9z+eyzvScjoVMzK1ULm1sOcBYenvQHecZIhYZUGsgVI2UbCVkomgSSLYv1kt/JEqH1atcLg88ebK+wAYvKf6XfK9iv036ZV5SDn4g/XwfooEhHW6BCPhmNuq69bIPPis//zSJTDU+6gQaqqK0g26aoIGOk0q1XJnXIp3bJIoghBWTvPnJhiPzvmP+5PvNlX73H1VptqynZ/vsOuQ/HdDvG3oeUQLrIfHfthYZUGsgXsbkKJJDkLXzptblrsoMwu1cV4chuR2ZQO3/IJoF8HZibGvnESKVjSO3cSrx3WRAkk0nX9QG5C89XI+XD0KRtSDWC2JiHjkbKPjZL7SjvFzwqsbkkdUE20BjpD/hnX1pYqpVXrinHkGaFzXDSjid5vpdt4J1vCTnzvLXnJ9iEnLmMXMsEJJDUSSIH5I+BYt+75LHmazRQUyOfJi7thJyp35855hns1Hon5bFYNw94sBUwZ4j0kJbFLXFSj5NcbF+unosw8jLpH3xhu3ZyOGnp7g/Igh/HLtn9Elzf5/qs16GpQJvH6+wDqbMVjBCxWuB/vYD5I9M7P0fQlUNopT/IkpTl0cMfxddnfu17nGwD71wau+kgv1r7FoJcbxGTDaOGEvsF2dYgHxAkejCEg3xkpHQzKetEQ2H5FOvf37+WHhIxIvjv0f91uZxzZXjv2mZXXLsnkyPNTAAPtwHGv6Q+sRG017JFnk7UHvWvfx/8b9yy3y0Z1yFfcM/B92D8xeO1UnOkHYiwfgGweQXw/b3SQ/ZotwcA2MEHuYAsajPoedk6VoQzdzkTO7f2Z6FljFS+zQP51drzAevmWyvfRT9LD4kYuc1sno1JsaohZUjpTFL5BJuQylxsnnXUrAfyLAqJkPHAsn4hsGlF8POW/grE6lxfBXXt5XJQTNeQ0ll5uzJnxxusf6d9olVuvm4xlS2DPJ8Me8AyjliZg1IjlU22I5l09Y+nj34an5zyibbkIh3wY6Tum2CfSb4w/zKNVL5hmzSknuv7HN476T3xj4t+sv6d8ZmyjJyIzbMo0NwcS7n2cthhc4FsbhGTVaybDzy1IzD5bff3VWuApDwUvrGQcZt5YR/gmV6+h7mwYTHw9nHA4P9zfW1nNtdkF7Um3TQN2LTay9snAjP6Byub0iGUtlGek6uoJxZ2W6jdoP3c0nLZxOqAeu9+kUD+TMQyqPpLViftb28BHnM2Dy8rLEOfDn0UJ2QODyOlOT7ReQ8e+iBGXzBaeIy0nayYBsz+TruOurBde3kmLuexTRpS/br3w/6d9hf/SAOAQu8QMSKIpAYoM16ftXplc3C9dPdLAUC8z10iBsxrAj++afoO7LYhJWEE0zEYDulySOBzPKiYb/37xzDnu5r1wNO7AiPuz7z8LRF1lda/K6e5vib3ST64d9KaFJdOhEHvWwHX/SVS4vPS1uKDJ78LPNgKZsrg8m3H6xdahurc7wMbkbZrLxlz3hHUxlJaWs83jgYe76asQ95h7R+uZyJCVg2p3z60/m3ExRY7j0RME0Wa75bO69K8i733ozbeOBrof2mwczQQMlJbKuiFKaJyDBgwqDPWrs96FbJhUF24+4Uov7JcvNHmj48DH58LLByb8XUC4aHWwKcXKQ+x0x8sGqc8zoPVvwMTX/V8Pe6icXil3yvByhJWLNVVTMbAptX4rIHWv4kY8O2twNJfvOc/uSMw/L70rr14PDBnsPKQwBOhaQK1G/WPX/Qz8Lte4tACowDNCpv5sqG6ezZmglxO6C7WhcaLktbig8c8aR2WsCYGaR9fNM6SFrywD/D8XsAnFwDTPg5UL1fZlcvw74P+jZJoCUqiJdJz0oomWztHXoc807DYePkg4L3TciM2VxlLWVxw+4F99q+uXoszuxyhdV7QJM5KJOLAu6da7TkDhIzUlgoSGioyF1vpDzLESwcBn1kW/P6d9sfhXQ/Pjth80c/AVzeqV7EVf1r/Vq0OVvbsb4GPL3DO53/brFHe3GHi72N1wE9P2zS0KXsE6xdahgWPAVcCw+6yVvEMWhW3yk6obERgSNF7okFy2sfAlHeB8YIcUbXrgfEveL9fOxeoXKa+9rsnA59dErzOKkx+G3hyB/G7FOG9U4DPL+e+lKeo6H9af1ciSuFx2WJgF40DGqqFP6WvkfKHa8KhfQCLmIXLvJHAJxel+iLdq4/BMvtb73dMP32538t4+LCHlfVylbxpOc7e9Wz8etmvahF1ljNu56VrjwydVTOU93nebudplJUEJr1hCcwpmjRBe0EKWk88pZOa/S3w/D4Og5kDsPd2WG0dWgWM2rM1VgvGAMumpFeJzSuAxeOAgX9J7/wUKOqc9nPMV4SGFI9ESjTqw0hF6Pd0xcfr/gDmWD7l9056D68d/5rWPlC+eO8US99FE0u8Hlg8wX1Muobar28D874HFo5xfx+rA/pfBnxwRnrlAsC0j4AfHoEhMpJYvLCPZVjwKEztX5fN0ONE3HHx0mtmDSkaOMmQWr/A+pePlOTE2C68fCDw7B4ZVzXwio30DBsWaoXtC0ECa0F73aHlDmI2lAUFFmQi4N+wGHjvVIsJFF0iQ2ZEW0tDkzQ7bnx8HjB3KNBQZTOa9hYxsj4uMvqZCK+juh3lm1zRsN8LgMqlymM952ZLbJ7FnHhZQ6zG/lP1XvftuC/KryxXlzXrK2Do7cCAq6zPv7zuGNMi0Bjx7a1Wn6vdoFfnNOBhlCSLDA9Sj8R+Nh+cAbx1rOuQwBq/DINzru1zLe49+F6cvvPpGZWTa2z9hpRpWloWGfgVOU16CprWMAxE/FYUa+cGc52AidpbzOiD4g1AQ43kDAVoBfTFNcC7JwHV65gLEbsSsJHTJMEO1IAzgMh0JW+fAPz8vLpscolsXmVVLVjNAMrgroo827DYEkbTu1s3D6hcLj/+lUMsMTXgPE/WkKLBMVEPlH/hMEvVa93l1G/Su4cMUFZYhg9O/kD/BLoPI+ISwwYCPRPR2yr/AtionsRt156PZkUJOnf1rPTLSBN92vfBoV0OTX1KPQO2b7Cib3t/Sp9Nk0Vh8QU+ofLjXwTeO83+GGGNOT+2MwVz3R9ax+kiLzVSugaFDtbMtv61jWnDWYSvnQMMuNo97yQaz7XnQYM4IIBHpM46TpkmY/lUABoLFLsfZGBIPb8PivpfgQt3vzA/2xOD/K5dpqhaA/yvpxVtJZowp38GvLgfsPAn5ztatZgKsTkiMBI+DeXlA4G3jwee3xsY+ZD13a9vA/NH+dc7ZUwAAN48FviPQDDuh1it9W+K9XImPTiGVLqNPM4xLMTM8CxexZ/AqIeBpZP8Bdm0CWVKd2Gy5YrQUO02BMl4iSmMzq9vAn59C1j2izUBv3QA8Gxv8bGVy4GKeU7+ItuQYq5JbSDRAHx5LTDzy1Rd1rjLysRQ4DHxVWDgX4U/9WzTU78cat+m6dxHUMh0H8mE9TzeOVGvnAFXqlk7ANK2yhqECgQNONB17d26/63ueiTqLYbvi2ud7xhDKqmQDFiFClxifobU8HuBRWOt8QVOlJYJuA2pr28G/hjqPX/NHJirLAbGniDLvxC7GTWRddfeqnJgxW+ZlcEYUhlPzNM/tf5tkRqbDcM9Xs36CnifYVH4vqJirzKEx8jhDcjVs4Chdzpj2cwvgQdbwVg7W1zgF9cCdanF4IxP1RenMkULz6DYsNBidBmUFpSmX14OsXUbUp9f6egL2AFlxTTgtSMdI4NlpagBKCZxg+80MqybC2xYBIx7xvo8+Dbgo3N8T3N1g9U+FDML1kXjMXbYyZJ8Kklr5SC4l55tFZPyyAeAVTMlZTP48lpg7P/Ev/FIlXFCtWUInVZVIw2tBgD8pyvwy5vO56qU8ZLKnyVGqpNP/QB4wrvtjQsb3Vor+3kuHgd8f0+qzpI2wLJ/gNuQmjfSihwCxIzgK4cBm1Zaf29eBfxnO6YO9ZYObLo4VxFNDm1L2orrxYIGODK4CQOudgZNEdh7ttsYN3DTpLFJwfaBcw+oGKWqtcDGJeJrEXNMGrZEzNKsjHvOPmTSJZPw36P+6ym2V9teuLw3r/vi6sje76aVchbXnkDqLWZ25hfObzXr4epzkKzo/7e7LUp3gRYZ6+apWeTBt3nrzC4gp30kDvZgoi7td/LltZa7XgeCOmXdpffaEcAbxwQ/74fHrPYAuAwKV/0WT3Dc8gQVk7f2D6dt0+IxVutt76uZMZJnb1dOF3tKXjnMWvBlANI4GfReeEPq4wuASa8BC0ZbdeCTyCa59znzC4t00IHttUiNAVnOu/fThT/hl0sFwTxNjK3bkGKjSv4YbDVeABh4I7BqBrBssvWZ1XIQoxGrsRrPj094ijUMAwa7ovj9G/cBfo1H9ntqUhMOQTrhs6zxFKvl2JOYtfJYPAFY8KNTj0c7Wqwcg6/O+Aqn78SspiqXpZKUMlF+XzMiQpkhFST6JVVG93gc5QuXYJdYzMcoAjBveOrcuBM9KaLvP77AMp5oFarDCvLuVPbZTnjJVWcPqtdazzZeb7l46zYydTkXeKOvpVFiXbiENbOc1e7yKe5nUP6F93gGJQUleOTwR/Duie8qjwPAGFLcfc76ygnZBqxny7qx2efLG+v2ObT69plMU4OuCagDH57pZUWaihAnQzB1LTICxz1rtfdn+6Bs0XgU8sYtgM93uwZ3DH7MMcIBr15sw2LLgFn6K/DM7sCMz4XVsHVeiZiXOWEYqRPLegAAOhS3A775GzD5Hee4zSvF95iMW0EkLx0ATH1ffAwDj2uv/AvLSJMhXpdZ3KRgbIqIolz9ML2/MzZlCz89Zf2biLt0SQaN/YAlfXhhX/d5z+6BrrE4etcLWFe2vZDBsGQCMOjv8nrwjNSnF4kNwzWzAkdp8rD3VqQv6vlxNPW2PzzbSltAARD0a9VK7yKR0+7ZhmjtRku6QaAx0e6XkpYVb7C20/nJu8ABINZtblqJkpoNeclKbd2GFJua4OfngdePsv4mA4sGHLaR0Aq9frNlcAkGcAOGWwvx+RVuo8VvQ1OeBUjBTHV04fSjo7diy43Xuye9RAOjl1rD1NNkVvsWdm2zq3vFvEZA+bL3y2umCD7JCQFYkX4DrvKyOICVFHHqh26KnEWbHta/rLEhMqTmfW8NcuQ2keX6YcEbGPxA2FAj1z0kGiwWauBfLBcvr9uKVVs5V947VXz+qIfcgzXhG5+VqmnirJ3PRJfmGq5gmvxEz4t1y7xyMPAUsw/ezC+BSa9bf8tce9QefNwnrsVIFePOnjfCbezybpBEzGnr9C9dqz7F/hWUAEPuACqXAB+fC4Md7AlkELNs2GbuXc0aaBkwy1MT7/LJEINx7fEuktr1dv1u/OUzTFq0FG0ql1sG63f/lJTHIBED1qdY86W/+h5OhpRpRC2W5Lt/yo00AIjX27vXRyNRt2HEsibsODFvBFO/1PtuqLbZ1Aj1nyBu44E3AB+c6f4umcxOosfv/+0KhjE+ucB7DNeev1+2Av1XrPa2c5Zh1tVdiRYdPOvNsvfk6q7d4GWIV81UtgNH6J8CMdjjnrNYRpY527jEYUlTQ7pZt8m7iC2QpM74/RtLukGwDSmJa2/G51YqmEc7WH3th0fF5dZXer97Znfr/zzE1m1I+YE6BNvZaWBW5P0wGGGhbU7QeW+fKF41soPT0one6wEwU6JkwwTw0XmWvopQU6G4ESqLZQtq3UyIyA2lI4D84VEr+ojH6pmOC0o2WOoYUpNetSYrQQ4o/PAoMOhvbg0bCwo1ZwcpdmAzTTezRAZCSSv/evGGFG/8Vq1Su3er1zoaE16f10kjs/Gvb6ldbCJWc+gdVq4uHcgYKetH58+K+e5BbfBt1nUAp/2wln/Fn4643k4P0WAZzLwOKs70oao1lgvvy+ut9qZygb99PPBY51T9OUOKnllBEdDcEdFHRPneaMHDLhpkEZS0qucjMutT7c127TV431vtBtBDMgCUmabXba1isb+71WHspn2kDqhIJpx2aRhWGhc/hjxej7sqNuDKhgL03b6ve6xZv9D6d/F44Lk+Fku/eIJ7TKD+/86J9kQX4Z8LlfHh2U472LjUcpOr2PbfPnAnemRE9YHwyxvcF4Jn8mY/8bn8+2SDR3QDSXRcXaOYtBYvHQiMeAB4sgfw5XXu41473AmCEcBg2hoihRZDGm+wJBki3ZsdSZr62FDlZbEKLPeyyS/zeXcmH8nMG1Lf3yPPvVi/2TkvYKBWU2PbNqRoAGAnSduQYgZ9weafBj+JNlRZxy2d6Nkyw/qdmeA/ZMKXH+sMpCIhTDtZnwnMH2Hpqwg1AsaGh+s+6tyNUTTpy5gkFjLqFQDeSg08MkNKlpyQ1aQ162j9yzMBOiAjacp7zHfMc57wsluob+cI4wYz07TOG/0fpyP7MVKbV6lX29VrHSaF326oqJn8PLZOqkFa9D5psuAjSiuXAT+/4L5vEj2LIkKH3WW5g1Q5psh1ySJWZ7mJv7jG+kzGzaMdgP/t5mYbqtbAYF3vq2cBT+8ClItdZy6Q62zY3U6bp3dLi6ONS1w5nSKiCYzeX9Uay3AVan1SoBU69+6MgTdaf9iuvXqvkVS70ZtyhA1/p/anArGAgLOKr9vkdffG6x3XHl1T5F6r3+xMqvF6tEkm8a/6QiulA8uGknZo3Vzr34Vj3f0NcNriKkfPGeHvJxGzxsU/f3Cu+/VfLVZQJSLntUqsvIDHonHiHG4CRET2jEyPOvMLt0ifZaRUOk4WMje4DJVLgJ+fs/6e97362IVjrYX3nCHA/FFOPijTBNrtYh3DB8CwSLVdOwSpocrbHlOuti5xq211b5nSmPKLRH5O5ftUWTt5PR7vZi2SADcJoMLSX6z7bmJsvYZUkNw48Tora/OsrxmxOctS1XgbRGo1blvo9ZvVDIXEnQfA8q8DMJUTc8qQGvZv4BlJpBk7+XsYKUHZbOcmQSZh1Uxxhm4Wm5Zb98y65Sa+ZpWlSg/x2pHO3zqslQwN1dagb7tfDWcAWDcPGH6P+3iaDPgouj+GWOL1MU9aWirA+774gXDzSjFrSf57NgXChkVOegY61w/JmON6EuGr6+WGzuS3gSd2cNrjpxcDI+5zT0pUdxGFDlhiY04750KsxvtMaFJZNcP6l3ftsUzsoFvsd2UWlACzBVnTNy4VBAUw/XDiy47ObP0Cyyhk3+0yx/0hHOjo+Xz9V2uS5/OjsaB2xeopG6oRqbTcXYW2IdXgGF3td7Pee81677NgNWEPtbYilFRg2bxI1Hr3T2xvvSfXPdUzLlOJIbVxqTVp9b8MWDOHccMkvHUjQ4pcO7MGehcGvOs1mUSEDblfv9Cq55rfrc+LU9muqY/x42YibrnzTDOYxuq9U60IRoKC/VGq9/ixa9hdlqZp9e/WcyeGKlIQwJCisUKtjxWiqIXF/r9/ulUHAs1xPz1lLbw/uxj46BwnQzngjK8qDSLHSCUbqqyyXPW32sixNbV4a+VqXLx76nfe4Pn9G4vNkt2vypACHB2zipFi2bK3j/fWtQmwdRpSy6cAox4U//bBWd7vYrVW1uYBVzorRXaSqN/smoQi0z72dv6GarWrLKZYcdpJQImREmDKe1YahYmvyKOheEaKDZMXGlKK+r52uLM6UKH/5ZaAmjDyQevfmnVyxoZ9FpmEAceq3R2uWXvHmCRWhAUxfHznZyNS6L2zTE11hTcrefU6seHcKhVlx2ucejHJSlWuGcJvH3m0ay78/jUw5inxb0PvsO5x5lepuqQGUfZZ02SQbmLAmvVO+6la4xXGAwAM74JmzFOW/ol5BybvLiNM/9Rr9PJuIHKjV6+1jGHJs3UNdL++ZS2ayOCzI6+cPu9xYdC9LRxjvffVs4D/dMVuDTFcu7EST28il0aDNV50PxT4269Amx1crj0bbIoTwMXmCMEaJpECJy0Hj3gDIql2acoYqQFXOn/Xb3LGLWKo2XZHhhS5xUXj2DO93QuxeB0iKZegAdNKossG5JC70GAWoZuYxcVP/7XcefNH6hlSibiYWVUEqygNKVnepVcPtRYXdZWWi7ewLIBrz4eRUhkOkYiVBmDhT1Yd7HNSfZdLNeFy7ZEhlfJ6CLHmd9dHs6HKG8WYaiMGgIPr6p1gAn4M/P5ua/yRaaT80n8Q2DGa9/A8vh08UOWKbARkxZAyDGORYRjlhmFMMwxDpsZsPCybLE8AuWC09zu2kdMWI6yRMezfwIvOJsfGkH95VyINVWrDRJVUkwawhMKQ+nOUk0YBsDpV5XJL6F7+hXVt1v8dr7XoYYJo0veLitMBl+fDXnlvVmiIuu5rrTzKv1BHuvihodqt52jWwbqnZFKdvZ0ftFyrwdR5LLv3X0Zs/e+UEVuzXmwotuhiDWy8EbTdvkCXfay/dYxHnYGhTQ9r1b1xiVucTSL8gTdY98aKgRuqrdU+DcI1qX+7KtgnFs1T2qTa9U6/qVpt5TvjJxUj4l1cjH7M0j8lGpx2LnN1iiYpUR4kGyYwxhtlC3B9avD/uY0JgsCo9Lj25g6ztuuZ/K79+60bKtG1MmUIrJ1tuZ+KU/sMlrZJRe1xQy1v8PmkinAhUijXTCbqYdjBLmRIcZMXa4SZSXdiWcBix6JFwPaHOAtIVX42nnXYvBJGavIT8i8Lx7iF1SPud4uIiblMNOgZUl9c5Xbhk/GuWCQoDSmW8ei6r+D3SotpDLL1lMyQIteYakHTUA0sSQm6W23vfE9yD65sg/2XDKkh//KtYoTelifKD14ZyKaVlvH85w/eYzcuYQwp7jfRuDbjc7eXAnCP0b++5fWY8FDs+9gYyOaWyn1N09QQ8jQCZNocGdiJdFNq4GCNollfuQ6PmEDB9M+A5kCHRGqQ2rBILJgmqCjgH/8DHPY3JOOO1e/AgHA4YiPZfv/GYjxY9wgvkIwLqONcCPpchpTA0Gjf09JEUARlJmiocU8oZe2s1dXTuzgTmQi8IeN6N6lnLZs4iptb7at2vcWA8SgsBXY4zLtVTUlr4MYxVioGP80D4J78bpsjjlZpqBKLy9n3unGp46pYMAYY+4y7PdNgrCPA73U6cOD1VvTTx+cDe57r/p3yYxFi1XKN3fIpMDp1sP6WbSUjap8qZheQTkhaWY3YlB48WPf1vOHArlyyUdlKu7StxQbwxiLvUvXJAu/C5hXWliQixBucLWJoMaEScyfjzqTHbnXUegdrEt603BrXht2lXz9RepGCUvcYNP4lR7/DRzmuS+2Q8NklbiYXAFpuh1dWrcGGI291vuMF1PFa63mnbUilxoPz3rXGF17DVbXG6i+6Oh5Avsh+trdlsB59h/zcZNxyp+59ibW4oG1/qtcBHXp6DB9jpcW0RkzoRSjTeamhLyky0nlDkHKPiRaFhWXuvFkrp1v6tUNvFgvNv7re+50fU/7jk253eA633NHB1unaC6q74RtJmx6+rEHbtXPxn7Xr8MrqlAvn67+KdR4EftsQHtM+gSly7ZW10zMM+WvT9Q5MRXyIGLGqVd7vAL1kozKQIVUlM6R2VZ9/9J3616pe47hnAGC7FKtSU+EW6gthADscbv3JdsL6VNDAIkGOpx1Txl9ZW+saovuLFgE9jvTQ5faAprOKPYELCS5h9FXsFiKyLXnqNjqG0WuHOxPY8HsslyAL0mu16Oxfr95nOZmcq1ZbSf1YiNxNGglZTRKF78JFIuloyVhsf3Cw4wGgpcBNAMHShXd1iBYmLMglWVhqMcO8scCv+jW3cgGgzjieqEeEzWzO/eVBrM5hG2xDahHQdkdrMVK/KZgRBQALxyCauubOsRjQqjtw3jvuY3Y9Xl6vTcyz4Me15p1wZG0dzmi+s/z6bOoACaSGVKzW0VYWtwAOuBa4ZICjfQQsQ7okICM1/kWLVREZtUsnOu90vyuBfpJdIA6/xZ3l3s6d516kGwOsJLMGzEBzoR21R2zpdo4XBqMecm9Kr3JVzvve8ewkYtai+fu7UwtfTRecn5H643+cfHu7nwbsLkkl00jIliFlAhhuGMYUwzBuEB1gGMYNhmFMNgxj8tq1PkZFpmCt8As+tFw+MkQKvEK/jupNZKnBnV5Vg/YJTTGkSuwHALEaJmqPQUlLPbbAc72UgUfiPlFUkGyDX91s5CLQSlvESJ3yNNC8o/p8fmsJ1burmO/OBL0nl6Zhx6OAe1aLc6C02cFqG4DbrVJXablNRRE856f0OKVt5a69aKF48CJj2G+7jz3OsQwxwtVD3YzNWa84f6sm3+0OsP5NNLjzmvGuEho0d+5nDUgqFDW3DGHqH3xZK6apz+dgD9w0IXXY3XEdAk5wgC5Yt4cu2CAAAQya7Pn+67cCJjaNN8AIPEPNa6YA4CRBlnMZOu9l/fvtP+wM51o8HBs0kKi3FhEbFgJtd7IMCX5B0qGXf5nrF6LYBF5fuQavrVprGZOFjCHSZker7ajSe8hA4wGxJsmE5epkQUau0pCSGHG1Gx13VbTI0iftdoId/m+jpJWTcV4HtCiQaaqmvGsZa8c9COx3lfP9bidb/+7UF+jYyz2WkcHIGeUUkegSm6tw7H0AgH9XbMBRNbU4cHkqI3uLLu7jKLkpIM5zx4K0i+yCY9mvehqp+qpg3hJZjqtGRLYMqSNM09wPwMkAbjYMw+O3MU3zDdM0DzBN84AOHRSTYzbAMjhteqjDzUtaeQ2pbvuLj00h0EPrfpj1L59wkl89j7jfGazZPl7YzDGk+BW7ClQWGVJ+LhEWSycFGyREmNHfioZjUdzSP+VChHu6KkOKR/NOwF1Lncm4pDVQWCLWOUSLrEHGiLq1YusXOHmSeNB7KGtrrQZFzJ0REbsVqU1KnuvXy1ZgyH53Wyt3tr223cmt92IHRlr1idBRY8Jr3d0xsgpLgYt8Miq37GLVReaGqAzgngLQLWZdu2VB6n4LSlwpC6Ri++MfFn/fSswuKSFZpBxTYzG4R9VImCc/VxwxUsc/Iv6dT+wpSv/BGh+E1jtY/27P7R1I97HsV2d88ttYFrCMJmIpzaQVyddQZRk7JQIj8+aJ3u94VC4D2vfEYT3PRutk0nqn7GIgWgSUDwDS2Si5rC0Aw2E2Nq+0vAcHMev36Z9Z26yoDCkZSceyoJ32dP4+9233ccUtxRtM8+h3P7DzseLfjuR0S0f9n3V/7HM/6nbr3yNSiVvZhVi8znKdS1LjaBtSLbsCAHaIx/Hy5iRKKNqR35ni17ecv/2IARFEOzmI8PVfg7lNC7cSQ8o0zeWpf9cAGAjgoGyUmzZYRqq4hTrDcnFLr2DO5UrzDkaubw7xyTbddR/rX35SEDRwM+Uaca2WisqcQbLdLsC1DIvUZkfxNYtaOKJ6m5FSiUU5/PmDf0biaxQ6n11PFK/ES1r6G3S80ZN6FwfVMlTy9ocAB/8VHhSWWtcoTkWB0TMW0ekbl1hGG/8e5n0vFy5SrqKy9haDINI9xGrFhhTv2mvv3stw51gc23c5wJr82EmHZ7DYtqna1b11d+DuFVLXFQCgHeNm9WPKAKCFNeAKtWFAMME0gNs2bMBzq9div8LUOygssdg+P7D3RAsV/nvAmzxTBNG7OuoO7NEQQ/nCJdijQeLmFg30zRi29YJUGo3uBztskQqiSV+0Q0KnFBvIGpyAyyC08wHpMFL8ZuK0/yi59tJBfaU1OXdgdH1sfXl2JwgiBVafJUaK0gHscbbFeAPAD49Y26yINqpPQfpkKHqy3wNAMyZUf9fj3Qa8rmuvtI3bRcZiR05g3fMU61+23G77A/euBXY62vrMsi/xOien2DH/Bi6yXF222NyEd3y7XiAOb9YRaJtylbILi5SBJYQfIyXC4vF6x62bq2akeBZ5a2CkDMNoZhhGC/obwAkAZqrPyjHYyaa0jdqQKmnl+JoPuAb463j3ixFoR1yd8KTHgVOf8RzjOZ+fnNkGfo21ZxyZT67yC8uchlPc0r1auUiwee1Rd7jdZyrXHrca/2bZCnyzTBGaf/JTFsUMuLJGe9BZkrm7sNRh/2Tu012OA/7B6J5SBsjbq9agfGHKGO26j5h9oBU8GSK2ISWYkMidwT6Djlx+Lhnz0W1/a0U29mnnO2pjDVXilTwZCLSKJaEtCxrMXJMOx0rohg937G0xW8RgiNBeYEjdLnFFAU5bYt+vTCiugWIT6FdTC7vlF5SmGAc4k4oIZJTucARwDRPFx+eoufEn9X6PvU53jGMRdINWKFM99bveZ1oGlF1OQNe8ap86Mm74585cw/D8kQZadPZ1eypR1s7pf/F6LyMlg197MiJW2TRmkwu+0x7eheUKeci/9NF8e4v1rzCQhKmbEdFj7Zt1dC9YWLTs5vx97QjHSObBGp7sgof1pNRvtscNV9ReGbMwadbR0qvxKG0DnPe2JYWgyOK+91r6MJm7PB1DavVMy8Oyr2Iz7IJSy5BUMVJ8nYLs6ZojZIOR6gRgnGEY0wH8AmCwaZrDslBu+mAbXmlrtyHV6wzgiNucz62Zl7Ld/lZjZhsr7ydm8ZdUYjlinUSgwX3tHPdq2zakDGvQ7XuP2JAqauZ0hoJi9+DGD9CtugPH3uOm9On6omSDvZjIv34PYKdYHDvFBEZHtwOtfw++Ebjia+DBSufahQK36R5ne78DLAO13/1WeWe/Jg+5b8NM/iLXXqRA/F5oJUf3TxOuyvg4/13n77+OB/7J7LvG6nVOe875excuv9bfpjh6q4Ya8UqeXJY0+LZODWjEVhSWOcewz5RnilSuTnagJ6PwrJct3YUIrDFHBl6zdu4Jgl1UUP1KWgFXpETAHXZPrd47uMtJBywjpWLSaOCk93zRp8BBN3on4aLm4kXUxZ8B91UA538guUCqJx50g2WsAWr9GL3LSAFw5bfAGVx27aDMDhm/rCF10hNA33uc/s/LFVztQjCS7H810GVv/TqwC7h0YBjOuBWvc7speU0TC18NZcQJ9pj+mbXnXOvuVpvkXaGi4IeepwCnPQdD5O5nIepnbPlmUm5IsW7A5h2BdhJhPOs52V7TiRPlXHuEzavscYPefgSm1fYu+9JaIN0+z21YETr2sjwBV37r9K2ytkD7XYB/SjgR1i2772VqDwWhdoNVLjuW8mjd3ZLBqDSIOx7pnmNUUamNhIwNKdM0F5imuXfq/z1M03wsGxXLGOe9A9xE/vzUgHLEP4Hz37NoUAJLx5PQmZ28aJDkJ/2iFs7KvFix4myVWnXw4fQ2U5Bq9js7+zwZLFu124nOALh+oXugKeZcF2TcsAwMdZzVgg5x0pPAcQ9ZqyHywQPA3lym2GtHAPdzDbusLXDVYOAybosKAOi8pxWqy6OwzDJUrxsJdNkLuOIb7zE89r7Iei/sM44WehmxvkwWc9Iu2YyUIiCA1UEYBsdmpv7e4XDggKud71lDr82O1oBD76Wh2mcCSr3vZu0tI6W4BfD3qcDfGM0MuxDgdS5tdwRunWm5FwGHIQSAG8da7+rIfzluibY7ud8tC1anJ3O3FLe0GNe+97q/Zw2sI29zVtMy9uUCxmi5ewVwM7PpKmkyCkocNwi7wNn9NODSLyw3Xs9TvRmrdz8FOOUpr3FRVAYh91DaBogWpAxD7vcTH3fKjxYCxz9k/b3nOeL7AoDuh1j1OuMFa1XPPwNig/e+BNjtJLc7EgBOf975+7Ivgb1SG+qy49Ahf7W0acR28kajasEHWEZAkCzh1DYJN4xxywoA4GAmXcSV3zoLS8DSSZFRzDNSLCgogqBiugGLQSxrbwWEDLzRymNHjCCvlamr9DK6F30CHHA1jIv7u78/500nihcQG0ns8zNNb9/sfZbV/3oc4XzXrIPVB0Uobgkc/g9nEcbikgFi44Ttp2wE3KE32Yaey4yOFlksP40HkShwMpOS5LpRbgac5g4/458NQigs889YToFA0SKrX13HpMi4uL8zx7XoZEWcq6L7jIjbXarL0ucQW2f6A8DKcUOCW2rwnfa0GhLrg2YHPbKC2UmCBvS2DG3caU/gbiZiSjZ5nPOme9W/MzPpsZ0NADr2cpRRtFo682VgvyuAPudZmZIPvcntiuA1IDTxk4W+6wmOrkWE4ubAEbdaqyF2UOB9zobhFYHTPcg60MEp8We0GPi/ucAJj3ldfjq+7c57AQ+sB+5c6DCJkQL3aq55Z7cAmvRdZBSpOho9T2JA2MnYLkfwfk983Iqo+cc06zMZbbFq9SBEq8jiltY5Rc2tFWsQoXTr7R2BKQ3+XfezDLrtDwL63ec9568CfQJrRLLthBXHdugJHHgtcPTt7nM7pDReR6UEs/SsZX2BLb+oGefaTLV8IwIcdL3FdvU53/n5oo8tjco1Q4GLP2GO5yYyvj8UlrkYqTsrNuCjFavU7+fQm9zldzsA+Nc8d86sK76x3j+5H1t2teolY3xoUtjrfOCS/u7J8PhHnLQagDXpHXGbtcDZ51JvWWSk8/feImWAFDaD0ZrGKq5PB1m5F5a62Yuu+wDbH+g+5kAm/8+OR7ldWCc9zrj26tyGFGuQnPwUcB2j2/GbkI2IldyWRedUOxYZay1Yw8ywn5vBM18de1tM4vaHWM+dH58Bb/QrGRNU57Y7Wv2PNcKad7SeY78HgOtHu8srKLLkA725XFmAFSnY/RDv9yzDWjHP+ves1yzDInVvydRrjwBig/DgGxzmif+d0v7ouMuojyYTVn/u94D7d5Z86JmKPqTxr9sBznzARkCWtrWeszJZtOFmNYMsEHKErdeQYkGNj3cJAMBhf3e0KeTCcrn2UhMAOwjxK3zZ5NHjCPfEfBaTd4eYKvJZF5U5K4m2O1suJhpIS9sA1wzz+tB5fQfPSPW7X7zqBrydmgVLYfvl5hFFFgHOgJ+otwazw/7mHfx1xJrEukWizmo8Xm91XHqvPDNHBhAN5EdyWwzwuHMxcHNqX0G2jiQmF9H8h94EXMJsLUP3y7v2dj3BTfVTyHJhqTX4yfRkPHqfKV7ZUu4sv+AAXv8FWG3j4v7Ald+5J5zz3nXcl7tKtgkqbW25eCl/Cz3r0tYWe8GDjIfeZzrXJrAMk2FYwlqVUJzuZf+r3d+zK+vDbrHaDDPxXLZpM/aub+Ama0H4lj0wp9oCP+nudIz1/k99Brj8aytlhQqk5xG57HY6xisILiyxFjii/kFtndf9EZNT1Mxyv4O7s+adxFpBwvnvuce1ghKxjs9VJtcvCkusNvFgpbUYLGMYqahk4mu9vTvAxC/ooXknd3oQwDFg2YUZucddDJfzRAx+LCoothY0135vpRgR1YPdg2//q5woVT5paGkba94oKHHG/yNvs/rqcQ8pb88XrCFF6WtIj5daDNLTjZiQj7FkuPCGVOfUsyRPjAp2e05Y/fZIRjJzyefAuUyUHwnXWc8MzamFpVagQPdDLQ8MX0cehmExynw5TYimV2k1BqjxiV5MWVvglqmWO4gaHeuHpkmUHYT6cPmKCoqAM18BvuEi+KJF7gmBXYmWtALuWOiy/M09zgJW/2R1cjK0RDjlaeDPlCF0zXDgnROcMtm62pos031urzO4lRoHGkSOvgvo+2/5cYB3FUhuUx19BTuYXfixv3iTaHrSXNy/3oo62vdy93GUYoFYqz7nWT71h1PPo1V3YOdjnONl2X97nWFNyH6GGOBMhof8xRpAI4XW6u7i/m6jgfKq6KQbYMG6xgBroNu4xBmg/AwpetZUL0LPk7zHFpUBlw6wtiXaSRK6zYP6SVEzi70oa+fOOh8ttnRJwsAPgaZHZUi16GxN1p56pyat0rbACam0A212sJKjFpRY7eaiT9wBJPtfbW37kg5adrH+98Mp/7XaKU1OrOEYiaqlATyoj/CTBxkM3Q4EylJtkbUVWnZ1ztn9NCc6D7DeyR5nW+eOe9b6jjUCZChpZbFJssS+NP507GW1v4NusFybo1PqjxMf9xqpqsCgM1+x3J680JlSQbBj0Q6HWoaGqjwWfvcKWKxk+efWwqjNDpYub8531ubUgBMZbRjArTPEOp8jbrVE8LueoFcvDzgDsPNezgIrtYgpeNvqs50ScfmYSowO79I/8jaLkWZTAP19qtVOn+cYV+pHIkOmxxHO990Ochh/ViBPvxcUW23kmmHutCIlra2ky0bU7VUwIparkPbgywNGahsxpFKNT8WAsL+xLAutclWrOQDY91IrGR47SZE/WFYnTvhndj/UMqT8wm0Out76H7BWI7Q9DLlXznzFGqxEeoOOveRG1E0TrUF+1kCnjn6gAah1d+BWJomlKHJNhV6cmPf8971JC+m9xJgBiyZMFjwjBbjZu3/6bBBLKCgSly87lp3c/zHdGth4lyixXDrpBlS4frRlqNBkpZPV++phloH+3J7+xxpGsLxl5Jokxo3vLwVF7lWk7JoEkSvZDyJX8WVfWdtTDL8HqKrzMoA9T7L0fw8zbYUMHb79d90XWDkDgbH7qfLMy/H6YPdKCy/++bbdyXKJbrc/ClLGw+5tegJIZVRvuZ1zzvEPuw0pmojY5+f3rgiqnHsFRRbbSQziKSltDoXsi4TlvOFz41jg9RQDtW+KoecF06T/YY0h2qZJZ4Pwi/urQ/3Z61zH6MROecr6f8r71mc2MjpaKBfO84uiIOCfzzFc1vloITonEnh8zTocVlsnN6Rs0oD7PRL1vlOZWJ7ai8iQKSi12vWlX1puPDJyWR0aGUesG5HVRpa0sgypSBRIJJzFmRGxxlYiL0JGqpHAu/b8QPoPwGkshaWA384pvc8AZn7pfE4zD4uHdvY/wfqXmJXdTrD+F0HF+pCmjLZl0GmghaXWqpRPAJmpobDHWeJrAc5kLUNRM8udImLFdDfnzRQyzROtyHgRbFA0a++EaN80US5oZbHDoc7fvHskU1AoN2kbEtxErxXNl0m8PqyFhBF1G78tu1japNnfWNtwiHQ0niSwqefK63WuH+0VuqcDduLxc58deL1742fbkOL6JrlEAZQBeP+k97Fr612ASV9bv7fs4lyXHweLUuOUqM/eJsipdvFnegYK4M2VBIgNNwJvKHTZy3K7s8+dXejetcT5mzWkuqWi4HqdDkx4SV1HESsbBORuzcYm8H7wBJ9wRk5qzjmtOrXYlM15Qba3EaGgxFmciuYJ6lO7Mouxv453uwy329/anYIfp3udbvVV8rBQEBi1G3oGpDkmUqEJsW0YUtBgpFgUFFuuipr1VlTUMf+29qz7oq/6vLNetSLePk65/uiFH3Cto2VRwFTtiaUCUd2qnEEEHWPSzmOjaenLVqUnPCYWTKYLGnhV+zwBwOUDrazqvMvuzkV6BszNv+SOLu5xhJUslQ1eEGGfS+UbJ/PQyWLO4t616vxJ6YAMR5pMiJmNFlkMoWiS3ukYK2qr95kWeyDLAK2LgiIrMEGEs1+33LSyZKIsDv6rNYjzYm/D0GNp/UBt66JPHOb2qsHiLNSnPu3+TBNn132tieT3QdYebBz265Qabw641mKYm3W0tD8/POawL73Pss6lCFCRYSNyXZJwOG0wUZo8OvexdkVgwS5seRQxi1X23TTrYEknSloB0z4Rb5abLZAbWpSrL9vgDU3eu9C6u8VMfpDSbcna6+G3AsPu1M+VxmKPs635kBKe6o6VvMb39OetaFT+Hs55y3K3L5lo7QCw41FWouSOva3s6PQMWnYVu/ibANuGIWUzUgGs8H9Mt6jwSMRLn8pQUCyO3DlNkbCTgZladfm69nhQRmkZK8HqYnSMSdVKIwgO+1tm5/MgNsHPwGi/K9D+H97vdTfwVA3cmeKI24C9LnRT2CKwe+plG5lklpaBJmfSflz6BTD5HSt/2to5Yq0Km/7iDkUi0GygqFmAXD0FVrRsrmAzMoxxKYoSE6Hb/hYD2b6nNTapkhsC1thz8lPWPe14FHBtKkJQNAFlylLowr5/ph1e/4PVP1v3sNzUb0uCHHjI3KKFJY4L8IpvHPdgLtCmh/Vvl71ydw0b3NwgMoQoC7oKh/zF+j8dnPSkZfzM+tr6zHo5bvnNf/skQmGpePuuwhLLI7FLP8sQPup2a46rXge8day1c0aeYdsypIKsJnXEhyL4TdanP+/OaMuAGKnArj2i2WWGVFlbZh8/jdWDTaU2gu/55Kf0DRwaqPa/KmfVyTkiEX8jaktESSvgn787upCdjrb+r1wGzBshTgS4rcJUMDI6CMpA6uqdGgui+2fzAukavCq4Mqnn2EDs0NNyW7XP4QKMwC9IZHPFzb8Ca2aJf8sUxCDtfqqVB+vwW53f2u6kJzPQQXELJ9ipzQ7W/3nCQPHIsx6WI9iuqizoG/wQLbTcgWweHBYaRkBgRuqcN4DxL8onq+YdHUNKtD8cD5uRaoRoiINv1D+2ece87UghINaFtermTmYaBJd87h/ksUWCEn7mgBncEmAbUgrd3P/9oZYhtOoOVC6R/+7KyN8ITJtse5dsY59LLHdXWXugfpP8uA67Wf9nE6c87Y66ixbKt9HaxrCNGFIpw6SxwiRTeVyCwkzX0NvzXHfCQB4XfAC8e6q1w7yfuBUIrpEKESIX2C3/KPyswBbNZlmntsUgNc6pDBzBHqcu3DzR2cFABFaQnm+MXCYobm4tnJsCeSDqzldsRS1MAdEmoL1OV2f9bgJs18Ja0e/QUkM0HgRtdwL+b7b+8bLIoBAhQmQOWXqFbQW2IZlBPmg/6QXrzmsMRirENo1tw5DqfgiwZII7r8eFHzVdfSQ4rvtxePfEd7F/J0VulsbAXhcAfwyV79EWIsTWiCCJMTMBH8a9rcE2JBtpYw3dtDchQqSJbaOF9b0X6HOBFc2VxzAMAwd0PsD/wFyjtE3a7skQIbZI3L6g8aLWdjkOWDnNf4PepsBZr+oHf6SLY+4Cvrg62P6Surj0SytEnkVjvdcQ2yy2DUMqWgB0Euw1FiJEiBCAkx27MdD3buCAa/SyaTc29rkk99fY8xzr/1xg1+PcSSCBkJEKkXNsG5sWhwgRIkS+IBLNDRsTQoyQkQqRY4SGVAB0buYTSRIiRIgQIfILodg8RI4Rcp4B8OUZX2Jzw2b/A0OECBEiRH4g29shhQjBITSkAqBlUUu0LBJshBsiRIgQIfIThmHtl7q15iUL0eQIDaksY/rSjejetgxtmm2jWYtDhAgRIt+gu19qiBBpINRIZRlnvvwzzn99QpNd/62xCzB7pWLrgBAhQoQIESJE1hAyUjnA/DVVTXbtRwfPhmEACx8/tcnqECJEiBD5jtePe93eTSJEiEwQGlJZRNp75WX5+k1cjRAhQoTIexy23WFNXYUQWwlC114WkUg2rQXT1NcPESJEiBAhtjWEhlQWEW9iQ6aprx8iGEbNXo0edw3G4orqpq5KiBAhQoRIE6EhlSXEEskmZ4SSoU9vi8LX01YAAKYt3di0FQkRIkSIEGkj1EhlAaZpYtd7huKc/ZpWuBgyUlsWIob1b2j/hggRIsSWi5CRygLIfvlq6vKmrUdoSG1RiBiWJRUyiSFChAix5SI0pLKAfJkIQ0Zqy0LKjkL42kKECBFiy0VoSGUBja2N2lDdgPlrvHv+ZcpIraysxdH/HY2l62syKieEHoIyUms316PHXYPx4x9rclmtECFChAgRAKEhlQU0NiF18vNjcdwzP3m+z5SR+nLKMiyuqMFnvy7JqJwQeiCNlK4BPD0lSv9wwuIc1ShEiBAhQgRFaEhlAYlGtqRWbaoT1yNDQypPPJRbJEzTxDPD/8Afq7xMoQwOI6V3PDFXBvkEQ4QIESJEkyM0pLKAfNFIZcvFaCCcqIOiuiGBF36YjwsC7LMYiQRz7dFxkfD1hAgRIkTeIDSksgAd18zM5ZVYWVmb03pkyozlhznYtPhj1Wb0uGswfl+R3sbPDfGk9rFkD+luLUTNLLKFMlJHPTUaz42c63tcbUMCTwydg7pYohFqFSJEiBCZITSksgDejhLNc6e9OA6HPv5DxtfaUN0g/Y0YqXTnWZrPt9B5OisYNnNV6t+Vgc5Lh5UM6tqj9xvdQimpJetr8NzIeb7HvT1uAV4b8yfe/XlR7isVIkSIEBkiNKSyAH4SzRVjsLKyFvs+MkL6u21I5eTq2waSaVqTiURqw+gAvF40XdeejyE1Y9lGPD50dpNvop0uKGiiNmSkQmxFWLGxNmRZt1KEhlQWwLv2cmXIrKwUi8wJDiOVXg3ICMhF/StrYvhkUv5HA9KbDPoM0nGrBs0jRZeoqouhx12DMfL31cLjzn5lPF4fsyBwFOdxz4zBhQE0XkEQJDVHQcpQjCf03aQhQuQ7DnviB9zw4ZRGv+74+euwsUbuyQiROUJDKgvQce1lA35zddYYqRzcwP8NmI67B5Zj5vLKrJedTZhmeu5RevZB7CnbtadpZNA15q+tAgC8OuZP4XF0D0H0WgAwf00VJi1cH+gcXTQIjKJF66qxrqre8300Yg1LTb13ZYgQ2cZPc9c26vViiSQueWsSLn/7l0a97raG0JDKAng2orGi3njXTSJNI8ApL9MaybFms8Wm5Xv2dduzF/AdpjPp23mkArr2oj4vmAy0oIZULlEf89blmKd/xCH/GeX5vjCaYqTyvK1sKfh9xSY8PmTLdfXmG857dTz2e2QE3vxpAarq41rnNNWzp3GpPA8XsHWxhJ0bb0tHaEhlAR7XXs7sKPd1+HnGYaQyqwB79sJ11VkZBHSNgPlrqjK+Viaw3ZvpMlKpz3NWbcKTw+Yon52T/kCzbppRe/SziAWyyjGxdrOXCcol6uNibYjIWCLt2NbKSP00dy0WravOerm1DQn0uGswPv3F7UK/5K2JeP2nBdhUpzfpyzBl8QaMnde4jEo+YvLiDVhf3YDHhszGo9/9rnVOU7XlfO5D/xowHWe+/DOWrq9BbAt344eGVBbAMwqN5drjr2t3mnQZKe7ztKUb0ffpH/FBFjJpUz8xDOB/w//AV1OXeY4ZNnMVjntmDIaWB4uYyyYcYyXYefyAdcmbk/Dqj39iU6188iKDV5eRSph675c0ciIWyDRNPDNiLg58bCQWV2R/MpehPgA7Zmukkt5z7v9mJs5+5ees1StbSCRN3PrZb1qu6yve+QXHPP1j2teav6ZKaKCvSKVXeeOnBa7v6dBMNWfnvjo+bRdRPJFEhcCNu6VjsyYjxXotpizegOve/7VRjJwg0cSmaWK9Iio82/htyUYAwJFPjcaV72zZrsfQkMoCPBqpHLn2+C7Bd0SRRmp9dUPgSBEyBBektDi/LdkQ6HwAuPa9XzFo+gr7Mw380YiBF3+Yj9s+n+45Z84qK3fT7ADZwbMNW2we0Bq2mZXUPzSAqUToZKzpMn52+gNf1571b0PC+95f/2kBXvxhPgBg+Ybc5jVjIWOkRCCNVDzhfS4fTFhsD8D5hBUba/H1tBW4Mcdi4ulLN+K4Z8bg7XELAQBzV2/G6DnW3ou1DdYzLimMus4hw/S7GStx2OOjmsTle983s7D/oyO3uqg13Qhtdk3wt0+mYuTsNVgt2aHCOcfEuHnrMvIICNYiUrz78yLs98iIrLGlc1Ztwue/LpX+zi6Uxv9ZkZVrNhVCQyoL4A0ans3IdDNhAt+f+M+iFc5+j4zAJW9OTOsCTiaA4IbhqDlrcMunv9mfne1N5OfYBmgTajnSzaVF90euQTJ2+HeyelMdnhw2B8mkyaQ/0K2bXh4pGtxFLBBNwEGumw3UCdgxGQq2QI1UY+VeW7rB2lB8ampxc8KzP+Hq934FANSkDKmyIrchRe3lgUGzsKKyDmubgBn6NrWokrmbt1TovnZ2QaUa3lgX17vjF+GytydhuCQ6N+h1/TAk5QnwM/Bc5SdNKdN50nNjcceXM5Tnbi0IDaksgF8x8IZHtvbi410dfLnUMOvjSdw+YLr9eWrAFTzvcrI1N/Ek/vLhFMxbrWaMRCsonU5D12nK7mVH7QVkFYk9sV2DEvfU/30+Ha/++CemLtlgtxNt117qGfpqpFL/igwpVhsVJOdVpgji2pMZoY2FWCKJjyctDnT9oO8yXdh9U/A4N9fFAAClEkaKkAvhc2VNTMlk2BrCNO0o0zTzUizvJwGYvXIT3hq7QNiW+G785ZRl2PWeoVhSYRnLC9dZHoEghg2PIO2xOmWINysu0D7n7Fd+xi73DA1cLyA0pLZ5xBJJXPLmRPySChX3Ru25ka0GI3PliT4PmLLMds3pgq+l7eZK3dH0ZRsxbNYq/Pur8kD1BBz2Q/UsIk1PSDGuvWDn8QMWGQOxuPt7ivIxDMdU02UsiaHxq5tu1F5jPucgrj16lrlmpDbWNOC1MX+6nv/+j4zArvcMxT0DZ+LzyXK3BA9nux/1cUGMAVFAgN1HBEbwJjKkeEYqyhtS2lXQxknP/6TUfdE7jQXxNTE49n9jcJAgwlOET39ZgjUZGB9B4MfWn/LCWDw6eLarjdG745v3dzMs1m7ems2u30XXWF/dgNNfHIeFPm449rrk+pWhpsEamwqi+oPfjGX+mkBZm9+SGGc/bPOG1IK1Vdj9vqF46NtZ2pEDyzbUYvyfFfjXAEvn4xkbuHaYLUOK14zwDZRvmH8GNKQIdr/l3FxJzYmcrUdVfRyxRNJ+BqpxtLFW9SrQMw1aB7pnOsvRKXEsYuq4wqhhH6vLWMY41kv2GlgGUYXGfMrESPm5JevjCbw51hJL5zoh54ODZuGJoXMwbv46+7sKRmy7qTamXRbv2pVBd/IY8ftqHPjYSPzM1A1g+4j7eNM07cAGLyOV+2HeL1mwrRlMcyxcuK5aK9J0VWUd/v1VOa7/YHJa11EhmTQ9EZF+Joct9BctLrnvnLHDSJ1LDLS33K9/W47y5ZV4e9wC748M2LFl+cYa5bHVqUVemrauFLI2HzJSWzimLF6PuSn3VP/JS1EXS+Ldnxfh/fGLtM5PpFoaWe6eqD3u+GxZ3nw5fEPk6zFzeXob7/LlOatgC36rMNZ42POB73HNe7/aZckMFNM08eui9a7rZIq6WCJwZ6XDRUJnFZyEnCkdk63zcY9KZKxHI4Y9kPLvtaKqHhe8NgHLN7rF4GRYOJO2GORW9DOkghqLqzfVocddg21xcxBQBKGfIfX6mAWYu9paAATpN6Zp4rmRcwMJZUm3tVmSFiAIK6mbkFV3sTZpgSW+nbXCveK33d/cdWIJ0zb8eEOKf+SZrlOGz1oV+JyEpK2rsGZTnSdh66jZYr2QaZr4YMIi29hao2F0VdbG8M205QCAS96ciP9+P0d5/MDflnvZeM02wo6JMuPKYaBSn1OniIJLVqUYt84tS5TXZS+x1Ce4pLo+kTonuwaOrM2HhtQWjnNfnYATnv0JgFtvwq5AF1dU4/cVYkOEOkCBZK80fi+0vR8annml4V2h80wG3zEXBQxv5/uP7UriNVOKMsbNW4cbuNXg2Hnr7LJl7Mvnk5fixz/WCuuRLna/bxj+2X9aoHPsAT8gG8IPCjLXHg0qhdGI/TyXrXcPcN/NWIlfFq3Hy6PnC8/1ez4qsbkLTDk67sXyFI3/wYRFvsfyoImE1+vwYPtgkIF2fXUDnhs5D5e+NUn7HHKBySLJeC1aZU3MTizLw2ZcfQ2pYG7cwqh7iI7wdHEK9fGE7drjwTNS6brXCOlsc+IsUPSvfdB/RuGAR0e6vrv2fTHTNG7+Otz/zSzcmRI367SdO76Yjn98Ng3zVm/G+D8r8PJo8U4BhIpqkatVz5KqF7Qx/lk4DJR7vBVdgxjAlqWFyuuy/XqZjyFFe1tm28Dhx0BCaEhtRWCbKL3Xn+evw9H//RGnvDBWeA6t9GmA8qY/yBxV9XFU1rgHxhhPBXPX5SfDiqr0coJQ/WmC4VfBqsHjsrcnYeIC7zYjPGPDg03EacLEhuoGnPL82MA6L7uM1HXYFAw6IAYpKIvIJ+S0WSGJay9pmna7GVy+0jZSAKBtsyIAwJpN7oGb3r8fq6FKf8CCXQDoTK5RQTRdQzyJi96YgCmL1VvL0ERiRypqPN8g74AOpVxKOigptPqvbHNknnnd95HhOOgxsU7HeZZew5nV6+gaErbhyRlStq6OezT18aQtFubbB88CNuUElgtdzLINNXZ+K9YYWLiuWpivjrAktYDRDYQQGcG6Y73oGl5Gyi2d4BkqwvSlGzE4pacS5Ypjwb7rtZq6sWwzUrJIzWwFYeUDtnlDijUKkqaJEb+v9l3VkmiPXHv8wJTupsEsDvnPKOz9sJvJSvBRe9x1PS4iwQpKBV7fQZ2fbsfZFDlQsQBYjYT4d1fdTWDk7NX4feUmvPTDfPEJPggSJUZYu7keH01c4q2PBqSMFHfDNBgnk26jksLaAafuPPtBk7D9XqS1CS4213FlihjYxRXVmLhgPe74Qh7mDDh1dpJtiq/Hti2+vatABrBqbK6uj2PcPEdzRPmW5IyU+7OqSdBr5o956NtZOOg/o2whr2gyvvWz3/Dqj242JJZ6XkWc8NdZ1LjLqYsl7PvgF1y8eDio21qE2oYE6uMJ3PDBZKEWc2j5SmECznSMOD+jmxVc0ztNmCZOfWGsMF8dgZ6hbm4r0QJGtagcNtNxgYrGo0TSxIDJS9HjrsGoqKr3bE/FM1SEM1/+2W5nfN1/W7LBFdjB9lXZgoGHzJBaVVmHo54ajaXrrbFKNx+ZKLEu0LRBRdnGNm9IsW00aVqrGz9Qg1y+oRaDZ6z0pj9Isy6rN9VhxrKNWFlZK9zDiR+EV2ysxXhGjCpjpFz3GCANAXV+uj3qOLp0Ngu/qD32exMOZZ3uthY1PhEqInw8abH99xs/LQjkFqTVFc/asYPv2+MW2roni5Fy7pnYEcARffJZhun96zJSG2vUYmn2TcjKrIslcNeXM7C+usF+R2w7JIPoz7XVyrQY9Vzb0ZlQVRM+r4WSuQ9Y/LP/NFz29iSsSrlF/A0pp537ZeUWMa4/z1+H72ZYuXkWp0LaRc/562kr8OQwtz7HkQ+4h2iZC7E+nrTZiVg8+4zUHV+4DZJ1VfX4deEGDP99Ne77eqar7LpYAn/9eCr6Pv2jpxzR/TfEk7Y+UoQawfv5cOJie3sWdvcA6keJpGmPATIWnPrf6k16C05Re1Tp+P/ykeMCZV17VEo8aaJ/KmHlgnXVHk0qjSmqa9QxRtPS9TU4+5XxeOCbWfZ37Bijm8vt10UbAABj561Fj7sG24mSv/ptGZasr8FHqXFys8SVzEOnbwLB9ga9+ZOpOO/V8drH5xrblCFVWROzV4aA1cHYIcY0TengnUya+N/wP7Cqss4eeCuqG3DzJ1MDM1KVNTE8M2KuZ1A5+D+jcMZLP+PQx38Qnsdf57zXJuAShj3zMlLWRFyY6okDJi/FTncPwYqNYvcHP95Q5ydqlv7lNWA6oA4to3n5urdI5TKR6T78oLv6YtGcy58y8Lfl2ufyBqqdR4ppT48w+3Kxrj3A/ezJiObbIq3s+GdomiZeGDXPNi7IAHh86BzlpMlOMDLtzpdTl+GzX5fif8P/sI0htkz2b0oMKQKxadQ1ZKtUFqq686H2OokeaeNW6neltiElPpftxn5RabxrN5k0celbk2xjlt6NLtMZs117YiPIhLvN1ceSNhPBP1telzZmrjxYoKKqHrcPmO4Jlf98sttFJhNzx5OOQSdaBIne6Y0fTsb5r03A/DViQ7xKUM59X8/EW6nksqsYl1VxQUpuIWij30xbjgMfG2m3RWr+unmaxO5v+VjIPncxI5VEccrwq48lPQmQ6RZUC1e27Vam9IXTmI2A2W6hOyY+MXQOpi7ZgOGzLGH/JE6qQYwZG6Tx9W/L7QUgj4ZEEsmkfx4wVXqGaUs3uuQPg2esxOTFG9Q30ojYpgypvR8ejuP+N8b+XNOQcBk9SdOUDnTTlm1MbW0yzdMg+U6yrqoePe4aLI0ae+GHeXhh1Dx8O30FXvphHnrcNRgnPy/WY7Hw01fIfM6FqcH461SEil9aBHuvttR9NXD/psO40XMQrTpqGuL4ZJITVsx2OFlElR9qG4Kfx+ffCQK+3ZC05er3xHtqJZKmdLVIxn4Ndw9kWPGMw8rKOjwzYi6ued8yZNh5U8VesdViJ98xc9di9B/WZMtOSHUCMSpbvmqcdJ6PPiPFu6hU0DHMqO3Rcycht45Gys9Q4xlJftJdkDKkdKP26LgiTiNlp9kwTRcbUR9P2G2ogTOK+Yn46eFzpcbDf7//AwOmLMOg6epFBJuKgH1+iaTpune+v4vG19GpIBNZTqKqevViahWjiyN9JjsW0jXv+rIcazfX21oyh5HSM6SEjJRiMGxe4izM2DnCjtpLmCguiKZ+T3h2VXA0UypDynn2xDyy/TAd1x5gufH4zcP5/r2RCQy5tf80PDFUHPVYF0tgp7uH4OnhfyivWROTj9lnvfwzTn9pnE7VmwTblCEFACuYleXG2pjHtSczVqgTNcSTnhWsbLLfWBMTDpzUIFdtqsPTw+cCsDLgisBuguoX8ZOQ1J0Eq7wP3lMv7jOtcHlDSjZ4qFYcNCGLnscrXLTMwnU1dnqKILl8WNQ2BNdIiZ5L0H3wCFGGjxfdQ9LkkuUxgxyFIW+uj7vK5ZlBAg3SooF+1opNePjb34X3wX7HnnvlO7/g6nd/RTJpulbFIkbKr00uXFeNl36YZ5fvMFL+z7UugHtWx33ALwxokqmNJYQGfsQAPvtlCT6cuNhjvPLgXXt8e6A2oG9IqV3gpul2X9fFko5GiquryGjt/+tS4QbLDTZz6BNdyTDFLBMRS7hZfZ5lELXRDi2KAVhttT6ewDfTlgdaTFUINtpl7Vhqa2R48uwhy2ip+rtoblA9JpbhFiWkTSRNm0Grjydtjaodl8m4+n78Y429uGHBzkV8tB9dw66DxJBaur4GDw6a5frONJnAEF66kqrgBu65y7wHxJS9M26R8HfCoY//4MkVNm3pRvS4a7D9+cYPJ+Oqd/Nvg+NtxpD6XpD7pLIm5hGb+yUPi0QMz+AgWzGZMIUDJ/nxdRLMnfaiY4XLVvH24C0ZAyprY66oOF2Jk7PCTYmcfQZZ1eRou/YEExKvBxs5ezUe/NZyg+n64XnwbI4ORCu2fR8ZoXWuV2zu/J00vbS2ybn22GvT8zBN9/3bjBT3om32IjUos+/h3FfH452fF2JlZZ2nDuyqXdROZ63Y5IokooE4ntLBXPXuL3Y2ZjqGx1Xv/oKnh8+1Jys7DYaGIVUd4B2yLIjMWKHJjDcIv5i8DLvdO9QTIWrAwF1fleO+r2e6nrk4cz/HSHHvKJE0kUiaWLlR042UugdZihMTpmscqo8nbEOBZeeWVNQIXSDPjJjrGlvYegL+aSpY48bDSDHPv4pnVRXM4fINtXj350X4x2fT8M00p135MSmiyDX2Orwrj/+8illcq4JUeKYPULvdWpQ4qQncdTRTdXQMqbpYwh4PHPcw7Hpe9e6vuPpdr+u8TiAsZ9uMDiP1rwHT8R6XQzFpOnuBysZ1XsPZSpKK4YdU3jkq7/cVmzwR6QQ+U/sAbneB72etttPk5BO2WkNqwp8VLi2QaFf26oY4p5FSRRg4qwO+QcpWTNag4m2ERIn65fUgjJq9Gm+PWygNUaeGropyOu6ZMRrbV1j/rqqsw9L1NYEZKdXkSD+JDCnVKnCzxO/uB3pH/DhXVR/H55OXCq8pEh2rBNvLN9YKtwm6Z2C5a3/DWMIUpkFgB7l6FyPl3DN7fVnbpGdKbiDRwNcQT3reD30ePWcNJizw7r6+fGONkJFaWVmLYTNX4cc/1uKDCY5AXzSnUN3IsKU2qmNI+W1p4dJ4Me1KJh7nxfq2uzn1mYx3QiXDJLLGgagN8ywHz17EkyY+n7wU12lm3Obr6FwnxaYl3XWqZ5hydsK/5C3NDcvt8q1z/RKnsiwry4rEk0lXvWq4/itzcwPWeEx9opxhy1TGjWmaQgOBvczg8pUuY8lmdlPlsq49mc4HkDBS0qOB5sWOVEAWtUeuvep6596JqfZLYgxY2xzd+OFkLFpX7dnv0zrX+VumBawT1C1pmtLAELrnDTVuQ6plSaHwGdFG6RHDeoanvDBWO/O8nj+g6bHVGlIXvznRTropQ3V9nAu3VjBSpjPA8AO1zJCKJcSM1PpUNJ1IRCnCte9PxiPf/S4VwidsQ0qrOF+N04cTF+P/2zvvMLmJu49/R9LuXm8+37n73M3Zxr0bg8GAwXEA00M3ARIgJCSBl4QSQgkOEEiBkEISSggpBBLeEOClEyABTDUYOzZgsMHGvdz57rbp/UMaaTSakbR7e5X5PI8f32q12llpym9+9YAbn3F2Ubwg9eR7WzD/xmcAWKUsaKmcILMFvX8iX5OgNTXfEFm6CPNZgb/74Epc+sDbeIvzx1hw87O46fFgG/7O5iQaLnvECWte8rMXcMIv/w3AK8Tex/h7AVaKAH7xfeiNT5A13ZxRrNDAaujYyUpm7qECb8ze3abSWV9265c/3I6Tf+1dVGm/OeuuV3H5Q++AZ1tT0i3iTFwBZde+FL4hiGgUmUapszQdIzv3pfDsmi1SQYrVdoZppNixyv4dFp2UFJgoAeD5/3p3uv9lohDZvt2aymB3Swqf7mrBfz/bi7TtTAvITXtZ05QGeXh+UyaLh9/61Gd+dN5nNFLsb7YEqYxzDUqupvGohbFfXb/DGdNtPo2U2y5e2yyaX+l3/mvtNrz+0S4A3rxyQbmSUhkzNH3B5Q+9gzN+65qDaPuocM86zlOzuvi7RKY9+X0qDTHtpbOm42ze1Ob6SGV9/8snwRfXbcfj736G5Y+uxtamVt/5bEmqsI0Jyz47vQXgzk385pPXSP3+5Y8w8vJHpZUPdI3gU1sjK3NlkSUp7e70SkGKPgxRCgEWobO5LGqP2Zn7TXsyQSor3L3usBfHsPbxyIS8Gddb2X/D8u44eaJkPk6c/E/Vxis+2ombH1/jmQw+tnOJnHPPCjzw2kb7++Wdng4IoUaqHfuOVZ/uwR+5+leAq5Hid9Yf2e3mJyeqUi6N6xjbr1z4XTR1wS1PWAIXnUia29KBQuyJv/qPc78of3x1A15dvwMxnViTHLMYtKYyjsqf1YrI/PeoP1hC15DKZLG3Le1znP+fv650wpqd60meF/3u7U1JTzqHsNxcojWFOnSzv+PM370azUcqlQ0Uztn2JDlBh+dYJlSanhuWEJDVTrDPpy2dxZwbnsKc5U/jsFufx4+fXOurtcg7yqezppNugYVdKI66/UWMvPxRXHT/G45Gkx/SrI8UO5baUq6zOXvPcgmgSKazeNTeJIQ577/0/nbcY5uDWI1Gmts87ktm8IidAoK+z8POG0/aJWBeY8yRQY7+rWkrf9a8kbWB7WVzstH2tTnaUvfZPr92q0eAZhFpvvg+n85k8dXfv4aVG3d7stKLnc2zjsDa1Jby1fl0hfLAnwbAyhm47K4V9vl+015pwpAKnKLl4DsPrsTvXlxvt827TtHfzAtSVHu+xr5/vFJT1zR8tMOaZwdUFQvb0sytrT1EjuqdghSvIZr3w6eF5/Eaqfte/hhrNosHUZbZqfELisyPJ5kWLwTUPpyzICUZUTTMmFXp08WQhXc2D9vJNTG7s9ueWRea5yNocXRzEOWmkWLZ0ZzE2s/24oRf/htvb9wFwKqufhlf/wru5MgLUnT3zEdDUYpiuq8sB4Ue/8Q2ydJrb9nbFirEsokgKbtsH71UxsTPn33fWbiT6SyqSmLO76ATqjSidIO16MQMgh8/aQUvRPEtkwm+9Bltb27z5LaJmriQJS4QpKzvdu/Xyo27pVXsg0wtrCaENe21pTN4evVnOO9ea2FJprPehVmikeJhF062SkBbOuOZ8N/auMsRyuj94sdqNmsGmgQBK2O1731eI8WYb9ix1JJyNQissMJrJnm27Gl1+sovnnODPqLk9KEbC/bcNKfV/2RXCy74w+vu7xGME9FzYOdGmZO09Z5l0mTzsIlgS6nwGnaWK/72jtSSIZqvNUJw3r0rHIfo9dub8eg7m/H1P73h6QNiPy7TEVib2zI+DRRv6uP/Znlrg6th95j27PNL43JBKgy6nvqi9iRuD9QJnddq6hqw3s6n1r9KXCOQH+9hglR3KTPTKwUpftKW+SLtS2Z85ogX1vkXPMBdxHSN+IQBmfNbKpMV7qZSETVmPD/nsh+zWNXf3d/NOjo65zj/m3h69WcYe+Vj3qKoXJ/cyGhRCPFPPOygDsrBBbjCEr/jOP23r3hSHwRx4I3P4NBbn8crH+7AlX9/1/e+aZqY+P3/w73/+ciZNPjBTI+zGik29URRTJf6h9Dn1pzM4LF3NqO6xDLLfbKzBf/zV78wx/IG4zNFSWeznvY9ZavEkxkTFfbzO/++152JXTTx72xOOpGfMV3Dms2WSYS2LQiZYEYPb29KOo6ikTRS3OtUJuvcS35M/u9brpZiyW0vYMHNzwo3CuymiFfzt3ELOKU1lcWyu1bg8Xc/QyZr+nw5ogpS7OLHFs/ld+IVRTHGtOdvD30tmgvCNHP8wun6YnlNaM1tGdcUz3yPSAtGiesaZvzgKad/sYuY7Fmzgtmgar9W4d/vb/fMQ/cyPnRAsGlPhsiHx3kvZTnZJ0IExnImFUHadvyPohVtS7sC6odb/cI+geUA7Z5vtVUnxFtKSVCuKZN158y9rWmfAEUfLztXiZKTWtd375Enz5v92ZK47tkYvLB2G478yb+wdW+bJ++UiL++vhHffcid3+iaKdMW0/HB5xvUCXECrKokjumsOf+1j3biT5yzOU8uSTw7kl4pSLFhmEGZvJ9ZsyUwDwgL7TQa8fuqyJLTpTKmMCybDrCm1jT6VwZX745KJmt6FqvqEkFHpQMzC7yw1nIufmKVOwnwquvtzUkcMb4fTp4xGLVlCWnYPf3+KLl8fvrUWs9r3i8lCNbxXGQ7T2Wse3Dl395hsrKbnuhIkfmDtdcXx3Un7xbLyo278dR7ru3/K79/DX1s/6YPt4XXAxSV60lnTI9G9KL738DCW55DMp3x7KDXbmnCJ7tahH4FrKAR1zXUV1ih5JcuGhvapmzWxBsf75S+/8jKTXjZdqY3Ea6R4v1FRl3+KN61C3/zgtRPuH4AAOsE+c3YzQa/8LH9z+t4nfEcp0LQJYePAcCY9nLQSLGCFM1STilLGL5cO/ymIps1fWkJtjW1hfowyaL2UhkT1z/iOsfvbU05vysVUZCiZj+abLS61BW+ZQvUsnkNzt8i4eW7D63EhYwGaiWXYkG02QqbN4LSYNCM7kVGiCCVcMeTzOVCxPTrnsTMHzyF5ra0J3UOhTft0SzrO5qTaEu5vooyjRR9Zs1taddHyj7VjcZmfM6Y8T5+YIWwzZ6oPftapQnD05+/89DbWLVpj0cLGcQfXv7Y54AhM7nSjQs/i2oacYR1WeWJj7fvc8b8vRGKoytBqgNhJ+2gqK9n12zFi+/7o5VYZv7gSby1YZenPEouSfX4zpbNms7OW5a/Jh+a2tKevDBVIkHKJp3NOgkjacblZ1Zv8URgURKGhpjte8O39ey73XBcusvrLHgfpwy346cCdHMyg+nXP+kMTur3JXPcjuuaUCO15LYXcKttNqNQR9HNERL6sWUsKKzGhrJuSxOSmawvlHju8qeFmaJZQSNmaGhJZTCwqtizA5eRzpo45ufRyiwk01mflkIW7iz7fBiiTQcrKK761CtIegUmr0bKPZ51zHIDbHNCVI0UKzhuZsqI8PlyUtms69cCsQk7nfUHnky77kkc9uPggBjaxG1Nbdi8u9Uxjb25YZcnYILVukU17bHvTbn2CU9gRls6i53NSezitHnprIkfHjvB/p5gVwMRnoSiqYwvDYiIIM09rTEYZtpjM8Sn0lmh87eIPa1p7NqXkpqeWdrSGexuse7X9uYkXlm/wxFWPT5S9v+ZbNZ5Vk1tfo2UK1gxghSTame/fhX4v4vn+9rBbjLptcqLDE+uMfqso94HFicXnGQO3SE17RFHEJQFaP3y+Q9wrh3RF6WkTVtIYfbOolcKUuyi9UlIioEwjchne9pw+zPr3PIoOQhS3/rzW75dfIbLVZVvCRSeb/75LaxlIl1Eph06yWdN09ld7bTt3He+8IHwuglDh6FpSAtC+F9ihNC0JNVDEFEjMkTnvfPJHtzD7Fh4QY/XXtAAASdpYSaL9zbtwWm/8Raozpqm1EeKhy7QYTXtAPFzTmetEOOrlzR6jifTWVREEIQAry9UXNfQmspItWo8uRQFvuul9Y4jMoVqvyjsN0ap6ciTymZ9u1hW1X/U7S963mvjBCYKO+ZSGdPRBvavtExRUZ3N2Rw9bI4pXou0tzXNCAjWMV/aAtMU5iEK6zv0Pk677knMuuEpqTlq/TZLS2ZoBNubk7jlCUvoDxIwShhH9B3NSbxp+x0C1sI/+donMOkabx61TMbEoY39AORX/Pi1j3Zg6942/OK5DzD2ysd8ZlIRQYJUm+1sHuYLxrY1mfFvCvJtAzslNrWmfZpX2i7RRoIVrpsYjdTaLU34dFeLsK7i3ta0Y0X56kEjMLq+3GdizWRNfLC1yUp5Yl908uAqAHDStVAhhwaqRMktyPd7mSaRrin+ot+mcx+D1r2X3t+OD7Y2ecafDKWR6kDYziwyqeSKrhHngVk+UtEmkM17Wh3TCIUm5qNOuLkKHzJeet/r2xXkI5POuKHYdEciK89QFNMQMwiSmWzgxJnJ5K6Ril53THzeVYyfVIZz5uU1VnTCorucdMbEUbe/iH9xTuCJmB5oDmGhkUD85ClCZMLJZC3T3hlzGjwJEJPprNDHzfd5ZmICrEW0JWktKnpQpVObqPefbReLRohH8/XBtmZs3t2KR1duwvF2Wohc2NOSwi+f9wr0QSHbbXZurKv+/g5WM2ZPXiO1ba+tkaKCVDqLg29+NtQ3j82Oz/pZ8hqXva0pfx4pbpHJSFKhhJHJmviYMSXKBFSaB2zReEvI+elTa7GjORkYtcdvGNgNi0xTkc66iRqj1Dfkuf+VDVjysxfwy+ctkxIdO+UJ+caB5iEStbM1lUVLKhM6Zvk0IrkuwGywAQs7zzS1+QUpKsiy95NNkZFiNFJ0o3vT42swZ/nTrq9U1vsdFcUxnDF7KIb3LQPgFYgBS5A5+EfP4XsPv+P0lzkja0GIGw1JBSeq4SqLh2/caG3DtzfuhmnKN850c8f7SLWmss58FZat/uAfPRfJOb5XCVKEkEWEkDWEkHWEkMsKcc32wE5YUXY8YexLZpwIFUKil3kA/OYImvm3kjG9Rc00HkS/Cq+vlci0xzrC0sgKujOT5WpJxHTEdQ3pTDbQl+HSv74VyUeKJSgiiyXKhJ3mJkdeSOCf2Xn3viYchKPqynwRj4+u3OQ7z7qm9R1RBCneyZ6iEQJCCKpKvP4poqhLnkzWK0jtS2awdksTimM6YhGc/zIBgjEt2xGErhE8f8kCz7Fj73gJX73vdU+UXFREtboCo/bSGXy6qwX3/Psj3M2YpVlfkE27W3HPf9ajOKajT5l1jz/b0+bUvguCTuT82BJppHizjC+zuekVpOIRni8A/OW1jZh/0zPOa5HwW2ovpH1K45g8pNo5PuXaJwLzQa3hwvzZvceTjO8ky7DaUkfoz1WrQ9m8p9XRxNGx/dUFIzBQEhLPwwsWWTNY8wZ414FUJuvL6cWbqU3T9JjzaNg+D5sRfK9tBmQRmfYobKoI1keKIkrIuS+ZQSZjejZKMm3cS+9vd7RZpXEDRYbrcE77xZ6WNGI6cdwUovDcf7fiD698jFQmK1y7mtsy2LUv6el74wZUoDWZYQQp732qLon51qyPOV9EEfkI8x1BuwUpQogO4HYARwBoBHAyIaQx+FMdyxlzGnDDUsuOL1OdjxsgdtQT8dx/t+IOO2JOFLUXxKpPvZqeGx9bjUzW9OTRyCVXBm9OodT5BCm/RopOwuff97oThtqWyuLYO16SdsiEocHQNGTNYOn/8Xc/w4Yd4R2fhTcbyAgKf6aksllPZAyvHeOfmez3HjtlkLO7pQvUV+973XPO78+e6XkdRZCSQeUddhJJZrKRFtp0xvRoRx5ZuQkbd7YgERP7efEEFQXmhQcRGiEeB2XADYnPB5FwE1QepM3WRvCwfj0X3Pc6NuxogaER556+8mGwXySFClKzhtd4jvPPe2+rm0dM5mxON1Aj+pbiqEkDIu+k+QADkdaXjnVDJ6gt8z6PPa1pjK4vwyTbtBMEu2C/z0WolcZ1TBxUidNmDXU1UgXQBlDtYUzTMGFgZaTPsMIkTSUTppHiBakTf+VNTssv4q+u34kFNz/rvL7xseBkvYDVD2SmPbGPlBugw/pIUUQJOVtTGaSzpsfnS6Z1zJpuAJKmWT6dfDTz3rYU4roW2Z2BsnLjbqQzplCIa0llMOmaJzxzUGVxDC2pjLMx4jVSt31pCt686jAcPWmAc0zk3M/TmzRSMwCsM03zA9M0kwD+COCoAly3XdBnKBOk/n7B3LyuqxOSk28AP7Du/vdHSGdNjLTVsjKG1ZYKj8smDNpl6UQqitoTqUrb0plA7UFRTEfMsO3pIQINrbx+6aIxOG/+8MBzc+G5CJF96Yzpmax+9fwHKIppuO7o8QCAZDrc9HjLCRMxe0QfZ3crO5ufdNsnSFn3li1wmsqYkQSprGk6zpts9Gc6YzqFqoMI0vbUSwQpducfNeKVEhQAAYgnRVl0D2AtTn9+1R8evY0xw9CIzX2pjKNJ4ZOjyqAL9plzh3mO8/4dzW1pn8nNZ9rLmkimrZIguTjp84h8deh9NTQNfUq9G60dzW3QNS20dh7gLtyic9NZE7NG9IGmEef9wghSbr43I4JfH/sZANhqR1OGpT9ghS+RSYp/JmwNyaiITXtUkPL341Q267Sl2dassZgC7ea+ZAYZxrwKACUSs9yGHS1O1QldI0gYGjbubMHDb33qaJL2tKQtq0NEDSmlJZVBKuuvoMDCCq+VxTGks6ZzjNes0t+Tq6dLbxKkBgJgZ7ON9jEPhJBzCSErCCErtm7t+KKDdIGSFa+NstDIyEWdKDLppLMm6isSjsaDZ8nEATht1lDhe7JEkvuSGQyrLXVKjog0UqJJOEw9nzA0xGw1cliJAZrMdOKgKnznyP0Cz82Fb/75rdBzRFGFcV1zIrVSmawvAonlpOmDccxkq9vS+lcyH6KimOYxvRVCkOJNE5E0UlkTe1tT0DXiKUfBCg1BiEoU0c/1KRX72NWVuwIW7wMRxn79KnCE7cMTlSBB6r1Nexy/DRa2dho1UVr+aJZWKpdSGew1KHwE5r5kxp83ik9/YJv2YoYWWn4lCL78EOAKUrpGHPMlZUdTEjGdRNJQ0o2GaHHMZE2nb+iOaa/9EVOsIBVVK8Ju6F5db23echFORSbWopjuGdOiCOYwzrlnBf7xttcNQJT+gG7uWb+5rOnf2NAu9NAbnzjHrL6W9YzvKNnrNUJQFNPx9OotuOj+N5xxtbc1WCP1tYNHCo+3pjJIZ8TZ+kXQ9UiWKsgRpHJ0D+lNglQkTNP8lWma00zTnNa3b98O/z76YPLN5iqD93WIygGj3BIGmaylMRhcUwIAOHC09370ryySTnwyW3ZzMo2EoTmqcpFGSpSYNJIgpVOhNIO4oWFEX7G2jDp00rZHXS/KEgYe/foB0U6WkBZkjjZ0yywJ2GHwAf5yx08b7ORBokKNLLzb0DSPBqldgpT9OBNcHhyZwMxCk01WFsc8E2tLMu3b3fORgYBYsO5na7aqSsULEytU8HUMwzD06IslYC1CLcxGiI9EFLW/vMjA+u2uWYo+S7ogJHRNmtRQhEb8Y4nXSLWkMp4FwDT9OdWoP0w8olCTC1SIMDTiCzLZ3pyMrO2hglERtzCbdqQx9cshxNJKFcI/hRWkot4XNpjg2TVbUV5kYOF+dZ5zgq7FCtJ0M5swtMhCQRhThlQ5AhoVclYItP53vvChJ1Evb+5qsvsZW3dwn625Yn9flAhfjRCPoOhGz6URNzTpfFNVEsfSyT69CFpSWaQF6Vt4x3eKMK8h1z4g90zlbb3FRwrAJwAGM68H2ce6FPpggnJR3Hjs/jlfl81Gm097KDGNOOroyUOqsH75YnznCDeJomwiaOgjFmI+2NqMuOHawCtDOi5g7cbC/I8SMd3R3rWmMpgypAq/On2a8FyqtqWLeixC5BgAnDh9sLT2UlTSgpxdGnEX7mv/sSqwiDWrEaLJ/WRjmtcAtaceFO0XvHM5+/orB44QfvbDbc14c8NujKkv9/SXfcmMI0BSjhZMhqIca1RArCoWa6TYnf/IumDzNE8sR1+MkriOfckMUpksbnp8tc8ZWRRC3bcs4UmYubsljVF1ZfjWYVYyzriheZ7XmPpyPPCV2YFt5jU0IsGZ1Zw9snKTL9KMbsBiuhZYhBZApBxgLNS0o2vEpz1rS2cR07RIUZwvrttuX8/7e+nixgrrbCRzGEGbgt/a9dwsjVTupj0AGFhVLDVvsdAxxQrg9HO8Rqo9DK4pQWN/ywc3yPTF9yPedUIUKEXbzj4LkfWBxzLtuW2h2uhM1rQ2y5LfXiTxt2xNZpDkEgoD8r7LCviioAJDy0+QCov+6ywK0XNeBTCKEDKMEBIHcBKAhwtw3XZBzQ5BuSjGSIrTBkGdRnOF/y5dJ6DzhsgMIxOkjprkXxApBuMIXxEhfL6mJB6YPA+wJh86EbakMtZiKJmUHUHKPj+iHAVDI6H+NmE5p0QhzZaDsXXhtyTpHSjsJLpkouXwyDo+ssR0zSNIUS5dNCbwO0RQLRhvymNfX3bEWKFGCbDMW+MHVnj6S0sy4+s/IlNhk0AQoYKUbAfJ/u6rvzhOeI4M9nlEoTiuoyWZwd/f/BS3P/M+1m/f5zGHi/wfa8sSngVoT0sKJUyb+fsSMwimDq32HDtx2mDU2QJJXNc8Gds1Ik5lwS7O73yyx1cg2koYazrJbWVcsGBEYCoAEXSxplqdHx0/0fO+zvg1RYE3k7HlsSgGJ0iJ+tf958zC+QeNCJwHaF4jq425m/YA8eItWpCpMztrQitNWPcuqMZmrlQWx5yNWRQtl8zFY6egf9P5mhWMw7Q9gNVv2TkuyZk3ZabRQxvrhdrM1rRlYuTfkaVEYP0jZw6r8b1P+9b3lozzBUwE8VkEh/TOoN09xzTNNIALATwO4D0AfzZN018IrZPRHY2UXJDKR8Uuq5kVRGlcx7cOG43zDnQdsC3hwfp+ka+JrG0HjKr1aK5YMlkT9549E8vmDnMWgiBqJH4wLAlDdwZSS9LyvaET1+QhVZ5z09zONerEGEWt/8yaLYHvp7N+H6lc/C7iujuZNdSWYv3yxdivvziy09AJyhL+yY8v9xOle9FzeNNeTNdwyNg67D/Imvzj3PvsxDea00iNqi/z7e5FWgGRaYwKSmyJmvvPmeX8TX/3/NF9czaFxBhTaxRK4wb2JTMeP0dWs8vX0AP8WqpkJutZqHiBQtc0X2mbOSP7OP2G36knDF2oqWR3xjsFmoSMXSImpmvCDO5OewjJ2fGXLtp0nPJtNnI0J/LPld7nII1UmUD4m95QjUsXjcXpsxtCv9OQmB9phOzQPiXOsaVcNn7RpkbEeFuQYvt9sa2RShjRIl2fuHg+fnnaVM8x3qxYVRxz7mEULRcf+RoETRvAPosoOec0Ik9xkDA03Hz8/jhrboPn+M3HT0RdeZFwzFIfKTp26BiTBZSwGinav9lhR+/94JoS3/0NIkpVic6gICK4aZr/NE1ztGmaI0zTvL4Q12wvdN0I8gHKxemTmjHyMe1VFMeQMHSPL5ShaY4AJdotynaQcV3DIfvVC99LZUyMH1iJq5Y0RnKmj2JCKIq55piWVAaGrqG6NI43rjwUl0scyumESAdHmMqeFSplLLtrReD7KUHmdZEgJRNCYwJNiWxijXE+UhR+VxflGTimPYGz+W/OnI6HL5xnX8vblhVXLHT+HlRd4ukvvzh1qq/toraInM3pDp01P80e0cd9P4IJRUbOPlJxHc3JtGe8sZsOkUZqmyBxImuq0rn7KOqapulqU/m+K1uM2MWZrctHSaazlo+UQZAKcKjVNJJzIAw9n2op4lybjRw1UvziP/uGp+3ru9eI6ZpnvJUKNhb0/O8cMRZrrz8i8Dtlm55JQ6qw+tpFOEMgjNHxJhqLIuoqEiDE+6zorZKZsHj6VxX7fES/dvAoz+uK4pjjHhDFN00W2CGCtp1ta1hWd3q+bBMTNzTUlRfhf7j6nDFuHmdpTVn9mWZMv+2UKXjkonk4e94w37kAUM34XNLrnTB1sO8Y4N3UhrG5t2ikuiukwBqp8w8agUmDq7CjOZmzRoqa2dgOb+iuOUskROjc7o+iBWhv8jE5hpEw3HIjqYwbuVNdGpf6JfDRPWGO07qWeyTTPy/yOqenmbIPhzbWO+3gJ2fZ7k80icvus6ET4S7Ypx7n5G1R0kD6Fece4E0XwZsmfD52THsHVRc77w/vW4qqkngkgUXkI0WfqSw1QtTdvwhdIx6B9cw5DYHnlyZ0J9ybvQaF9yEpimm449Qpvuuw/ZQ3S4uecdY0nUWHv4+ydCpUKC2N69gm0Eit2rQHa7c0IaZrgRsxQyO5O/FzGzJ+wTSY+pFREq1SQYrvr7xGijXjiMY4nYMJCRegWfMjq5GL63In8CUT+wOILtyXF8UQ0zTPBqK/7a9TZOiRgmMMjWBE3zLcddZ09xgnLFUWxxyBm38W9J5+Y+Eox9TYpyz8mVCo5pP9ziiaYY3Ifdqotpv//fSZioTwlpTluzigqhjrly/GgjF1GDegUvosWD8uOrfs1991d/EIUhG0eIc21mPOiD7YtDv/vHWFpNcKUnQyormNRESRo4bVluKt7x2GYyYPxK59Sby5YVfkbOn0+hXFVudiw1R1RgsjmsxZcwO/K5a1mxekBte4Tn0i7ZPMdMWSiHkdhNndsizslu6M6e8K22Hrmvw3zRDY0wFrELKfYaP2apmJiZ/gZb4AoomenUAOGeuq7y3Tnv9+8n5prFZn4uAqPHfJAt+uj/aBhtpSXLHY1fDxfjhBfbV/ZZEzsfJCbBC8sDSsttT5Xc1t4g0IfT93o7glxLDPI8zsUV0Sx47mpEeDwwqU1FmXRsQWx3RMb6jBYY1ejS2rLeHviyjFBRsVRfvFIxfNw18CnNKppqAkYWCbJMQbsASxoA2PFjHCjoUu1vSn8aa9mO4KKRMHhSe9pGZmfqOkM89Oli8pX3TiauLYrPwybfaZcxowtMbSDJnSjG9eKooMlCZ0J/fUr0+f5swHiZjmE2CvPXo8Fk/o7zkWs33mDhrDzAea5vGzqyqJM4K495rEHjkzGmocVwC+Vl4Q1LTH9uMoLhqaJs8DSMch//tp3+e1uIAbPcj3VZnAXMXMu7vsvlMriQCOIkglDA2Dqovx8Q4lSHUoURYS3jfpmqPG4bIjxmIZk4BP1wgqi2MghHgEqLCSBPefMwsnTh8CQKyRijFaGDrJ0emAd6zmO6dMe8M7+v3r0oOdAc4v8uuXL44UNltk6B5BiJ3kZOYCfoe8f8jkHaSRunCBOI8JIV6tECtI0ckxY5o+k51MkBIt6lQgXLhfHQ4a45plY5rY2dxXZgLA9ceMxyMXzcPfL5iL+ooinDxjsOcczSMwM0IGtzCJ7s8Vi/fDjIYaW+PgNe9EiZhkZYhbTpiIJy6ejy/aDvasOY+FhsZHNW57HJR1r3mB3nOZaaa2LIFtTW3Yxwh1onn6yi9Yjvh0fN32pSl48Pw5zvusQMDPC6JdetY0nYmdLoTjBlRieoNfqKePhWr3SuK6z7THfue6LU2BgpQeQXvDplIB3MWMThv84q0zUXu8L54I2ULGjnfeZWJkXRluOm5/qek8DF0jwrJGvP8a5fBx/Rx/nKjRg2UJAwOqip3SL+yYLzJ0zxg7c04DTps1FJcv9roviNYVQyf4wzlutYPK4phjCamQzDcVxTFn/A2oKo6cKobmMGOfxfSGaifxMADP+uW0mxCpdYY+b787gHceZ6H5Efm+Kus7ZcxaQ4XwvsyGV48gPLMkDB3DasuwranNV26mK+i1glSUjslL4KfPbsBXDhyBq5Y04vYvTfGdww5qkVnrlhMm4vpjxmN4bSmmDK1yBipdYNldm64RR5Bz/mdMfawwxXfWXEx79DoiASIo2SHF0kh5F0OKLDKQnkMLqP7ohImehc13PnMveES+FxR2AU6ms7jmH6vs49ZnMlnTd++KYmIVfrBGyuu3omli0x7v9Jk1TZwycyjGDXAFSX5hYOUdasKqKDJw7JRBnvNEbf7yAcPxZ1tLwkeAinaRMg4YVYsjJ/SHoWuYMqQ60NG+KGS3yD/G206e7JgwYrrmEWzp4s4nkaTUlsWxtzXtKTw+bahfmGnoU4oZDTX40QmTAFiTOVviZjjj08LvoIVCjUAjJaPEHtNUu1cc031CBjuHfLKrBckA056ukVBTOJ8ril/o+M/HJGYzGbLvD/KzKjJ0HD9tsEcbnAs64xsWJQLe0AmTNTyaIFVeFMOAqmLHPJYwNKfeZCKmeeYgep+i+JbFNM0joFaVxHD8tEFYOmWgbxxTKopiTt+rKYlH8vMqievY1UJz9bnPiBCCU5kEzlctacRYLkpcCxCkEjp1/hb3oyBTM39/6FpBI+90jaCxfwXiuoaTZwzGH86Z6ZT1YTVpuZr2EjENw2qtAIT123IrTdYR9FpBSiZsXLxwNP516YLAc6z3/NdhM/mKHPyOmjQQp8wciqe/fRAShu7YyalfThHnI8UvfqfOGooTpw3G+ZwWxm/aE7dbZKagR6h5kUWWPI3FSsjpdhN2AFeWxHyh1tY5VvuuWNyIVy4/BHXlRZjCFFOVnS+iLOEX1kbZjv/s5MOawqiQY5r+hbBKskMUtYEVcPn3RVF7RTENR4zvh+V2nUdRxgb+OuyzpEkcT5w+2HceneQmDq4SljfymVNz8P+77eQpQtPMk9+c70uUKirFwZ7DZj4HrHvIBlXEPX3J+l+2+FLfEXairKtIYP3yxRhTby0UxXZ5iz9/ZbZHi8Y+9+OmuosZn09JZMLMmm4tM5kg9e3DRlvfb48hmjRRdH/Y4Xrn6dOQClj4eT8yEW5ovYYblk5wBBDa3UQbLypYR0n0WpJw0ymwBJkcE1zkYK6wPlKiPFv8EVryBMhFkDI8OYwSMd2ZM4tiumcTEORo7Wu7wEfqoDF1uOWESb4NF31dHNddDXpJLFq6mtK4kxdRNL4fPH8ObjrOyo34X64gtaYRqWlPJrjEDLGA5TmH10jZr6tK4vjXpQuw+tpF+OfXDwAhBDcs3R9zRtQ6EZh9JBqpRICz+UI70Ko0rmNQtXWd9tT3LBS9V5CSPPxxAyqcjOJBWit+YQK8A1YkhPB9mzo1Uht4Ma+RoukP7P9L4gZ+eNz+Pu0R31ll7RZN0HROEg1UXmATwedX4YW6cQP9mosYc+/4hZVCczUBwZMvX6S5tiyBv9mCBDtJsepdep+zpulZOC5cMBINtaWR/XsMzX0+/O8WaaQIIbjj1KlYMLbO9x6F7yPsJEVNsyKfMvq5QVXFmCgoQOt3OI6+oMkm0pF15T7NFF28WI0pe04d97ws52n7b91b843+dlkeHBrNxGYqp5+nC7dsM+D1xZKnPxCVDcqa7piUCR4iLbP1XXLN5g1LJ2BhY70v6zlLlJQd9PfMHt4HJ88Y4vRN+kz4z7P3XRZ1yPKNQ0bjjNnWps7bNvlni2Ji4YslaL41NM1nogzC0AjmjarFAaNq8V1B9LAokKEs4RWk4rrmPIsiQ/dFJQLRBCneJBlUrubuZdPx9UNGobYs7mikKotjoXUoAWBApdt2UbumDKnG8fYz+9Vp0zxzp64RxwLBp2mRaYQjaeN4HykqfMFKZSDqyz8+aTL+cM5M1JTGnbaw40Y2H/3ja/Pws5Mn47RZQ/G1Q0Y5nylEhv320msFKZkUze4eomikWHUvO8BFEzj/nZ/tsUwS1MzgMZGx6Q9CdnFj+1kLFfVpojsZXism6lC0yaJonaKYLkz/z8KWiKHtZhEmE42wK/3ZyZOdv4Mi9vhJ6ZCxdY4QwzrQU3X9jcfu7wxey7TnXnue7VsSNULQNb36F5EgVXzQBMR/t8dhPiNeCNnPybJi61xfyiUiNZe8RWHn8qHcVpFb1/GWdYSmbZQ5KlPV/yYmxNn19bEFKYnpVzam+PtCfT0uXDASZ81twKTBVThyQj9XIJVex/p+XtAS/Rbaj2ibZUkLAW82flm7/dF0fudy7/tupG+UaM7Kkhi+f9R432YhqF/LHJajfl7TwGjWwiUpQ9NQEjdw79kzhRn2v3nYaKxfvhgf3nCkM09W2KY9p80xzdFIJWIaF+ATXZDiNz5Bjvcj68pw8aGjQYibPDlqMtARdeKqFiIWNtbj1hMnOa81AnxppuWzyxckH14rrlBAncKDngYfXRypfxXHMGeENRc/8c0DcddZ0z1RfTIfqbqKBIrjOq49ejwqimLOfX/83c2e+ppdQa8VpGQDgB3oQYOedwTn4SPW2HBYym7bnk136exAZbN5By3s9RUJfGOhlaeEqkLrK4owbkAFfnict8TNb8/0t4FKf3w9P0qQ2hawdr/s2s0vLKJdai7akLDz+fax5ks21JYmYixNGM5izdekirJr9ny3878/D0/QZBmUdJJ/1rpHI2VNrCKn2/mj+2La0Gqn1AmPa9ILV8fzn8tF6AoTQnnBVyfEuZGGpjn5daxrWf/LHKBFx+kk60SWxcQCrWxCp5/nn+e3Dx+D7y0Zh79dMNeKugox7dGP84Il9SErjumOUKlr3jZ/YX9vJBiLzEdKpmFjf4vMtGfoJFAzff0x433H2OuybZMRZWwFvWdomtPvo/pIBUHHFSHE8dUsTegYyETIsT5SMV3zbGrc0P/wJZK2ZcEY8RwrahcAjOhrCTDVJbFIc+awWleQiiI4sP1AIwSXLRqLNdct8o3RIUyyU0ptWRwTB1WFfkcz52dLx1cudVbZCEhAHuXNjwt6zx55exNWcJUEOpteLEh5X88baUnA7AMOql5PB71s8A/jpPj5o/yD6PpjJuDEaYOFHVLXg9Mf0Ilv9vA+jm2b7tDjhoZHLjoAc7nIqrkjvdE8gDu51lUU4eKFo/3tsO/T9784zhN+T4npxKN25geIOJlobt0ql4WcNYt4TXu2s29ccxISZk3TI1DQnTwdkD9ltGIi6L0jxP87eUHKk6U3YJIPMu1RVbyo7mBZwsADX50jrW8n6q9RStbkWl+MCgq8w/MvTp2KYyYP9AtSmhs4YejEswGRJSMFLF8IkfbLFUpsgUVi2uOdXt3PBzu4u5/XPP9T/nXpAvzzogOcuYN/n/pIGRpBxv7djpnQbvPZ84ZhdL38OYp25Ow94p+ZL2qPf18jTnqGGkExarqgi9rCX0cGbVOQgBM0L+iMRkroI8UdC5sz2Pd/eOz+eOXyQ2DoGgZUudqYhKF7yt/oHo2Uq40Og96XX58+DauvXSQ978bj9vcICdcdMx6/P3smhvYpDVyLKKwQHCWZste3lYAQq94eDeChP1f0/FdccajrDB5ga+Vr3dH7TvJKkBIMP9a8aXkK/3250GsFqSg78iCNFO0IsnMOHO0VWkQDYXR9OX7IDR4Km/5AtAOj6m1CCPYfVInFE/rjRk4DVVMaxzkHDAMgn+ToGCAAvr5wlO992oaYruHLXFJI+v2DqkucNAR8MkFRB85ZIxUyCK49apzj28B+P+vw7QhSMcMZYPyETFX8jrYhpJ0msxDybeQXMzbdQNDv9zubu3+fMnMofnnaVCydEmxuDbou+918PiWhpiNHQWrGsBpcvaQR13FajEXj++HWEyd5dvwAjUC1/o7pRBikIWrXnWdME7aNPtswHylCCO44ZYqTGZ5iSAQgHvp8+dqAg2tK0DigwpkX2H5x2qyhjqBp6MTRdvCFqQkhHkHcI4RLTHueUP0YXQhpG4JNe5pGnJBzUUJaWX/lp76gxZ4KkEEay2BtletCENVHKgi2GTRzNwDUlrouDpXFMWSyrvO2JxWJE7UXQSOl0WcuTx4KAF+c6K3dWRI3HHeD6Q3Vod+TsheK4X1LcfzUwSFne/sB+9vo2vbtw8Zg9bWLQvNQiR4HNRM2tXlTDzjrTYHkmucuOcj5W6RppUQJouhIeq0gFSU7cNCgp4uwaPDfefo0VBZbna84puMnJ03KvX2aG80UVJCXwNo53X7KFN/OgRCCiw4ZJW0nwApk4uvTNoRVpKc7e39hYIE/T46CFG8evO/LMz2vT5vdgCu/YGnLWI1UEbOIUtNecdz1N8hyEiqd5Oj7YYlCs44g5f+d7qII+1rub87FVMn2QU0jOHxcv8hmORZRIk7+OiJNR64TECEEZ84dJo0yOphztNc14txHQ/MuNNSnj9W2HDmhn5NrK1gjRZNGyheuIyb092n3WIHzsiPG4s7Tpwk/K9NI8ddh7+hBY/o6v0XXNEcjRS/BCkPs5/pwYeC8Rsn6rPs7eQ0eb9rjn+nH2/c5Ua28JhGw+t1tX/JrZ/kN3tAavwnIbV+44BG4wYiQP8tzfphGSjKGNI3gl6dNxZPfnI+4oXk0UmzTaVuiTGVhQt0MO/9Y0Fi7eOFoYTQuhY1sPXS/+khzLPt97OlUqB5QVZR3IlXqzH/IWO9mLYoQnAtD+7jmTJ9juycIqmtFmfzrPXRzpIIF86DZgcOGSANgJkH/dRY21mPFeitj+uCaYhw1KXcNApv+QKzKjnYduhDzDoT8dWRCoxbQBhZaRsAvSLV/68FPekHmPwXXuQAAGHFJREFUQlYjxWo3aOmO4piOFttuTxeCv351Np5YtcUp5OwIUiFtpzIbIX4fqf52BM1Bo/vimTVbfeUzopKjFTTgOn4NiS9TsaEBnE9DrhqpMEbWleP6Y8bj8ofesdqgEec58Ka9NjuUmxUSfn6KW7BUtPDQ+0xNG8U51v5jBc6vHDhCel6YIEVvrcfvUXd9wAyNOI649Dl4UiPYx0bVlWHCwEo8+MYnTruKAnzDAPjed/qe6WqxAUvIPGNOAxZP6I9LHngbgKWFaehTgvXb3ZQSpgk0CvKG8RsR1keHh/eREk03t5w4Cbc+8V+8vXGXT0jTNRKY5Lihj/e7wzRFQWPw8HH9nL/pMzK4pMA0XUuUTU2YUPObM6dhw46WwPMMXRNG41L+/Z2DkcmaeH9LEy44ODzaGvD2XfZ3UEGqX0W0jOqipWF0fTk+vOFI3/2h2i1ZQt/2ELQxjJLEsyPptYJUlMgsdrDdzOVDomp59pw/nzcbazbvAQDGfJRbu2pKrbIXrCpZFL1JBzLNNC2jNGFg+dIJjoqYJ0wgoxOULE0BJe5EHHkb2x4VrqERpLOmb9LbZ/uEjWdSKzTYyddmDq9xjrG7KZo3pSSuo6nNq2WbOrQGU5lEjvEI/hwA4yMFtx/Qz/arLHLUzs/c9Kxw0prGlI2QERRSnguugOD1i2ARCQVRBalZw2vw7qd7Ip17ysyhHkGK3kdD0zzCr6ORkrQhSCNFo3xy9fEK832kuIKU+DzR59moREN3NXG0P4jaetPxE/H7/3zkue5Fh4zE3tYU/vLaRl97AL9Gir5H7zO9x+fNH+GY86lGqqIohmcvWYCmtjTGf+9x+xOmUDBhN1dDakoChQonas++L6L598DRfXHg6L4Yd9VjPidlNsEmYM3HrOl+YWM9rl7SiKv/d5Xne2RE1epSjZShu0EXdy+bIfVFzIfyohgaB4SnNwgipmuI6cDVXxwX+TOy+Y1q7/uWRyuWLIuiFN3jfpVFePpbBzophjoSts/mWui70PRa016U9SlI2GJVvpQZw2pwml2FnHbSME0OD3XcZk17oms01JZi/fLFvogGESfNGOIkJ+MRtW7KkCrn72Vzh+HuZTNw+Lh6wZkudEHhUyzQSXwyc82oFDOOuSwTBlaioU8Jli91fcJG1pXjpcsOxjmMHxebZZvm+GJDifnQXIqsuCsPuxDSgVrOOLgP7VPqaFN4IeWpbx2Iu5bNCLw+/xvag8hHit8Bh0WDBfHHc2dj5dWH594uQhxp3uB8pGimZZkwJDpONZI091Q6xxwyIoFTBPWNkpr2aFQY+xndjTzTNYJz51t9lX6VyLRnmqZn/GuEoKokjpu4jR27KDpmZdoW/jkbGtYvX+zxiTx/gaV9oxHEZQnDmQdMUzxfZph29ZNovCm8RipIzqGauXuY8aFxfmPHTR2EReO90Y3sZqgQmnDA9SNkBcVc5/Tuimxsf9XWxA6s6hhhZ3jfsnab2mI68dQvlJ1D6WofqV6rkeLNGvQlO0Si+EjJBqzMDycMy0ehGS3JjGtWy1WtlQOmIwxYr9ddf4RnJ6FpRJgaYeKgSny0w1X/O8nPONNeacLAg+fPwYjaMky85v+cjNMivnvkWPzgn6ud18VxHXvb0r4ot9qyBJ69ZIHv87y/i8i+X8L6SEkmxDBtA8X0+EhZ5/K5derKEzh11hCcMnOo57gsEoonSoLEKIh8pPgxINLw5KrRyRVNY8PyCYrifuFXlA3cOp/Rwhga2tJZR/iivj5Rs1pTjIhm3TDTnshMY+huFQAC4JLDx+KSw8di7vKnAXjvPzsfseNfmrbFo2kUO90Grf+nzBzq66N0HjAh3lSw16uvDBGkuJIqQVFbtM+NqCtjzIymMBDB8zlmrORSAimIs+cNw4nTB6O8KOa4Wsh8Vv/znUMK8p2dhazvnjRjCE6aMSTn6w2qLsbg6hI0J9PhJ7eTtdcfGXqOJ+9XSDWAjqbXClLsRPfwhXNx0+NrfOcEqYfdSCNxZ8zXtDd1aDVe+2gn4kZw1F6hcfJiRZTc/85FO9FFQJT0k5oh7/vyTGmNNgA4d/4IjyBFHYXz3V2KQt+jaKSilD4AvP5l9P7xgpSmEVx39ISc2u1pb4QislEodqKm3GP82ih0Nu9gQYp3NveY9tJe0x6f4ZyvcL9pd6uTCoQ+h5wFqYimvXiYIOXkKXKPxXRXc8n2PGoOZ4UVVyMVbfwHRZi6pr3cJhLqM5gwNLFGimnYRK7w+Jj6cqxhypAkIvhIUWgfSKWzGF1fjvXb9yGZNkNLVrFCf5Si3FEghDg1MoNcLQDLbNWTKFRKADoPnjR9MC482B/53R3INeVOoem9pj1mJO8vSSwWNJce2liP02YNxVVLGoXvB9WFCuLSw8fg3rNnYPKQamchz3SgKpma/MJ2e2HU2GHD/SvlDopzR9aGhtLeccoUJzqFOgpHibAUwScmjNl+DvEQIZfmmQozCy1srMeg6mKcM3+YswsT1dhrD4XSSJVxWe8B/3395qH+vFJRs7zni06I47Qf4/xg2hhBauXVh+HFyw6WXof6RLWmvMIXryENbU9EQYoKRHGpj5T/WFwXh/BnGD8cyrcPH4M+pXGM6VfuGf8ybUi+iS6DWH7s/vjBMRMwYWClcAzSuW1sv3IsmzvM897DX/NGmBU50YpyHynKr8+YhjPnNGBITQl+dMJELF86Afv1L5fmBKOwQn++vzmIqBHMPYXSuIHJQ6rwi1OnFOR6+UQTdxbKtNdB8BPDMZMH4l9rt3mcCIM6RtzQcO3R4oy/1met/3M1yxm6hgPs5J2DayyhhC+rUUhuOXEiXly7DQ0BETdRmDTYGpAHjg732QriiAmu3wPdgeaaLoHCR/k4ZTBC1LxOBGDWxO/OnC4s6AxYJsYX/sda3PcldwEAxg+sFJ6bL7Ks3rlCNTRU0AD8i82i8f2wfvliNFz2iHOso+dG3tmc1fC0OT5SuqMVkEETSVKNFA0HF2VlDiKqRoo2U6bBFQkKrGmP1Q5dsGAkrvnHKk/KiDkjavHalYda57KClKQ9MvMn4Gpncl3/K4tjTj4gobO5PbcdPq6fb4zy/TZheLXLQbd3RN8yx2m6vCjmmJnCQvGDaiYWghpbWO/qRRmwNpwVxTGccufLeV9D0wgeOl+eUkHE0D4lmMoVmO8JYqUy7XUQ/LywdMogLJ0ySHxyHujO7iX/a5w3fwSG15Z6wnELTUVRzCO8tAfe+bO9UEEqV60ChZ942eSiQVDtTSZrBhYYZtl/UBXuXjYDs4cXNqw3KOQ7F2jtP7bCe74CaiHhM5uzfPfI/ZDKZKXli1hG9C3Di+u2O+aoxgEVuOus6Zg5LLfnQf2Loi7EsrNkUXsif6Vl84Zh2bxhvvMprAlNppESZbJ2UzDQz0q/IhSRZWSy7ew7JUL0Ke3HWgSNVNg1ZLAaqaC+zeZcyoUrlzRiVH1ZpP7Y0bBzdnlAXc9C85zAN3XhfnW449n3cYAkMrw70NWmvd4rSHXwVltzHDXzn710jRRcOOlJUEFoHxcKHRXev4dIjvP84JgJGFZbKiypE0RHTLCF0kiVORop915GMZl2dCI7b2Zz73c11Jbid2eFRzYCwNGTB2LOiFpPws8oEa08UYs6U2dp2eh2fKQYUcuK2stdO/TNQ8fg8Xc/833uawePxM+eXgfALVhunVN4HYFoIVowpg6vXr5QWPCch9dI5VMhJEwTFDUw4tXL83MKL0sYwuoOMhaN64cVH+3M67ui8t41izpcaxzG1KE1WL98cdc2IoSu1iL2WkGqI2zoLHXlCSybOwwnTC+clqs7UFUSc3LOdDR0l92Wzk+Q4h1Oqak2bFD1LU/gu0f66wp2BYWKmnMEKUa7J9tMPPWtA/Gr5z7An1ZsKLipksfrbG6158Hz5ziapajUlMSdoIb2tof9P19kpr18HHzH9CvHonH98Ni7mz2C27cOG4PiuI4bH1vjKdAtoz3ilWxDH0WIAnLzkZIR5oMTWYvYSZLHL06bGn5SOwnzG1NYKNNeB9HRGilCiNQRvSfzyncXtkvLlgtXLG5EadxwqrPnCj946E69q8sF5EKh2upEsXlMe+JzR/Qtw4xhNfjTig1YXCCzrwyPIGX/1nwEIlFpk3yg0W+51GoTIfp4THfLnOSqNaLPind0dmp+RhDQ2qOpysc08pOTJuHrf3wTgKuRipJHKl+6s7OzomvpatNez1lxcqSjNVK9lbihFczcFEZNaRzXHj0+7++TaZ560rMvVFtLBT5SQaa9pVMG4rUrFna4RkojrLN5/r81SrX7KFAfqfYuyiKRJcZG7eV4PceUyH1QtKmhhaEnO2VMcvwyAfk8GrY0lqPpI/lrpBSKfFElYjqIHrSWKvKEmh36liewdW+b7/2LItak6koKtd5Q04rHRypgEBBC0CdPp9xcMDTiSBXtyWtTKMf5KMkrWULP8+SR0vLfGVOHcenb7heNG1CJ/7t4PkbaSV+H2OU4LliQf38vmLaHc4BXKNrLa1csLFhJoI6i9wpSSpLq9ZQXxfD+D47Evf9ej6v/d5VnMHVn58h7z56Ba/53FdZuaSrYzp2avo5mtARdPbkA1jh0M5t3vQK8I7WVuubW2svVyjZlSDUeeXuTIxTx8Jqp0UwFgfKiWLfp7/R359v3fnHqFCdnmEIBoFM2fO2l1wpS+SZ5VPQsdI30KFMeABwwqi9G1pVh7ZamgrW9KKZj1TWHFyxTeqEQOZvnwtLJA7GtOVmw9uSa9kDmLygTlKgPVq5+hsvmNuDA0X19xXKDSq10ByYOqsRbG3c7r2murNNnDZV9JJDPcxSzoufSawUpZaP//NATtY80d1Ahm14SIbKrs9GJK0jlIzTecuKkwrZHc0WkjsApEZPj5QkhPiGK50/nzsLe1o6vc5YLf/nKHKcEDmBFmX14Q3idNIWiN9H9Zt4C0cVO/IpOpCOyHHc0FcXWzj0sm3N7KUsYOG9+9Nw4hUbTvDULuxp6v9MhmXSpQBSm2ebfNfJ0No/CzAIngy0EcUPz53PrBs9ZoehMeq0gpUx7nx+6wwKdK1ctacTo+jLMH9WxWZTf+f7hHXp9GWP7lWP15r3QmYSc3YEjJ/THyx9sD832f/a8Ydi6ty0wIznlnxcdgHVbmwC4kaSF+s2dlYqkN/Dstw/C+u3NBb/uG3Ypn87gyi80YmBVzyqOrOjFglRPXFwV+dHTfKQAy5fk3PkjuroZHcZ9X56Jdz/dA0PXnPxG3cEEW1kcw49Pmhx6XmnCCKy1yQo4jQMq0DigAgAbmagEoM6moba03TVFRVR3YC1UnrMjCO6K7kfvFaS6waStyI17ls3ISwDuiYJUb6dPWQLz7ZI61x8zAdc9sirnbOY9ESPPAsIyuruzeWczd2QfbNjR0tXNUHQTvjhxAFZv3tPVzei9gpSi5zE/z1p2bt0zRXdkwdi6yMWhewo0iSyfcd0x7XV6iz4f3PflWV3dBEU34qcnh2uXOwMlSCl6PLrWcQ6+CoWIKUOq8L0ljVg62Vtr0034WZjeOHGwlXl++tCaglxPoVAUHiVIKXo8yrSn6GwIIThrrt+fpdBRe3NG1OL1Kw9FTSf66SgUitxQSQIUPR4VoanoLhTaRwqAEqIUim6OEqQUPR6qkVLilKKrocrRQpn2Opv+lSr0XqHIFWXaU/R4VISmortAs8tHyT/V3Xj3+4crM7lCkQefe0Hq5BlDUBLvXvXJFLmhTHuK7kLc0LpNAeFcKU187pcDhSIvevXIufaocWgcUBl4zg1LJ3RSaxQdhSoHpFAoFIquolcLUqfNbujqJig6AUNJUgqFQqHoItQKpOjx6KoXKxQKhaKLUEuQosej6ioqFAqFoqtQgpSix+NEGil5SqFQKBSdjBKkFD0epZFSKBQKRVehBClFj4eW5VDF9hQKhULR2ShBStHjUXmkFAqFQtFVKEFK0ePRlI+UQqFQKLoIJUgpejxKI6VQKBSKrkIJUooej6oPplAoFIquQglSih6PKlqsUCgUiq5CCVKKHo+hBCmFQqFQdBFKkFL0eFQeKYVCoVB0FUqQUvR4lI+UQqFQKLoKJUgpejwq+4FCoVAougolSCl6PESJUAqFQqHoIpQgpeg1KBOfQqFQKDobo6sboFC0l4piA+cfNAJfnDSgq5uiUCgUis8ZSpBS9HgIIbh00diuboZCoVAoPoco055CoVAoFApFnihBSqFQKBQKhSJPlCClUCgUCoVCkSdKkFIoFAqFQqHIEyVIKRQKhUKhUORJuwQpQsjVhJBPCCFv2v+OLFTDFAqFQqFQKLo7hUh/cKtpmjcX4DoKhUKhUCgUPQpl2lMoFAqFQqHIk0IIUhcSQt4mhPyWEFItO4kQci4hZAUhZMXWrVsL8LUKhUKhUCgUXQsxTTP4BEKeBNBP8NblAP4DYBsAE8C1APqbprks7EunTZtmrlixIvfWKhQKhUKhUHQyhJDXTNOcJnov1EfKNM2FEb/k1wD+kWPbFAqFQqFQKHos7Y3a68+8PAbAO+1rjkKhUCgUCkXPob1RezcSQibBMu2tB3BeexukUCgUCoVC0VMI9ZHqkC8lZCuAjzr4a2ph+W8puhfquXQ/1DPpnqjn0j1Rz6X70RnPZKhpmn1Fb3SJINUZEEJWyBzDFF2Hei7dD/VMuifquXRP1HPpfnT1M1F5pBQKhUKhUCjyRAlSCoVCoVAoFHnSmwWpX3V1AxRC1HPpfqhn0j1Rz6V7op5L96NLn0mv9ZFSKBQKhUKh6Gh6s0ZKoVAoFAqFokPplYIUIWQRIWQNIWQdIeSyrm7P5wVCyGBCyDOEkFWEkHcJIV+3j9cQQp4ghKy1/6+2jxNCyE/t5/Q2IWRK1/6C3gshRCeEvEEI+Yf9ehgh5GX73v+JEBK3jyfs1+vs9xu6tOG9GEJIFSHkAULIakLIe4SQ2WqsdD2EkIvt+esdQsj9hJAiNV46H7t+7xZCyDvMsZzHByHkDPv8tYSQMzqirb1OkCKE6ABuB3AEgEYAJxNCGru2VZ8b0gC+ZZpmI4BZAC6w7/1lAJ4yTXMUgKfs14D1jEbZ/84FcEfnN/lzw9cBvMe8/iGAW03THAlgJ4Cz7eNnA9hpH7/VPk/RMfwEwGOmaY4FMBHW81FjpQshhAwEcBGAaaZpjgegAzgJarx0BXcBWMQdy2l8EEJqAHwPwEwAMwB8jwpfhaTXCVKwbtY60zQ/ME0zCeCPAI7q4jZ9LjBNc5Npmq/bf++FtTAMhHX/77ZPuxvA0fbfRwG4x7T4D4AqruyQogAQQgYBWAzgTvs1AXAwgAfsU/hnQp/VAwAOsc9XFBBCSCWA+QB+AwCmaSZN09wFNVa6AwaAYkKIAaAEwCao8dLpmKb5PIAd3OFcx8fhAJ4wTXOHaZo7ATwBv3DWbnqjIDUQwAbm9Ub7mKITsVXckwG8DKDeNM1N9lubAdTbf6tn1Tn8GMClALL26z4AdpmmmbZfs/fdeSb2+7vt8xWFZRiArQB+Z5tc7ySElEKNlS7FNM1PANwM4GNYAtRuAK9BjZfuQq7jo1PGTW8UpBRdDCGkDMBfAXzDNM097HumFSaqQkU7CULIFwBsMU3zta5ui8KDAWAKgDtM05wMoBmumQKAGitdgW32OQqWoDsAQCk6QIOhaD/daXz0RkHqEwCDmdeD7GOKToAQEoMlRN1nmuaD9uHPqBnC/n+LfVw9q45nLoAvEkLWwzJzHwzLN6fKNl0A3vvuPBP7/UoA2zuzwZ8TNgLYaJrmy/brB2AJVmqsdC0LAXxomuZW0zRTAB6ENYbUeOke5Do+OmXc9EZB6lUAo+woizgsR8GHu7hNnwts34DfAHjPNM1bmLceBkCjJc4A8Hfm+Ol2xMUsALsZta2iAJim+R3TNAeZptkAayw8bZrmKQCeAXCcfRr/TOizOs4+v1vs+noTpmluBrCBEDLGPnQIgFVQY6Wr+RjALEJIiT2f0eeixkv3INfx8TiAwwgh1ba28TD7WGExTbPX/QNwJID/AngfwOVd3Z7Pyz8A82CpWt8G8Kb970hYPgNPAVgL4EkANfb5BFaE5fsAVsKKlOny39Fb/wE4CMA/7L+HA3gFwDoAfwGQsI8X2a/X2e8P7+p299Z/ACYBWGGPl78BqFZjpev/Afg+gNUA3gFwL4CEGi9d8hzuh+WnloKlwT07n/EBYJn9fNYBOKsj2qoymysUCoVCoVDkSW807SkUCoVCoVB0CkqQUigUCoVCocgTJUgpFAqFQqFQ5IkSpBQKhUKhUCjyRAlSCoVCoVAoFHmiBCmFQqFQKBSKPFGClEKhUCgUCkWeKEFKoVAoFAqFIk/+H6/2z3KCNcfsAAAAAElFTkSuQmCC\n", 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" + "array([4.09764911e-03, 1.47267477e+03])" ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "plt.figure(figsize=(10,6))\n", - "plt.plot(s1, label='s1')\n", - "plt.plot(s2, label='s2')\n", - "plt.plot(s3, label='s3')\n", - "plt.legend()\n", - "plt.show()" + "fp1 = np.polyfit(data_result['인구수'], data_result['총계'], 1)\n", + "fp1" ] }, { "cell_type": "code", - "execution_count": 106, - "id": "23e776e8", + "execution_count": 145, + "id": "cc74f974", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "plt.figure(figsize=(10,6))\n", - "plt.boxplot((s1, s2, s3))\n", - "plt.grid()\n", - "plt.show()" + "f1 = np.poly1d(fp1)\n", + "fx = np.linspace(100000, 700000, 100)" ] }, { "cell_type": "code", - "execution_count": 107, - "id": "2c6fde93", + "execution_count": 146, + "id": "03e09734", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, "metadata": { @@ -6674,57 +8288,180 @@ } ], "source": [ - "plt.figure(figsize=(10,6))\n", - "\n", - "plt.subplot(221)\n", - "plt.subplot(222)\n", - "plt.subplot(212)\n", - "\n", + "plt.figure(figsize=(10,10))\n", + "plt.scatter(data_result['인구수'], data_result['총계'], s=50)\n", + "plt.plot(fx, f1(fx), ls='dashed', lw=3, color='g')\n", + "plt.xlabel('인구수')\n", + "plt.ylabel('CCTV')\n", + "plt.grid()\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 108, - "id": "8840caed", + "execution_count": 147, + "id": "88a939f9", "metadata": {}, "outputs": [ { "data": { - "image/png": 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총계최근증가율인구수한국인외국인고령자외국인비율고령자비율CCTV비율오차
구별
강남구650236.3102735378005330424758782260.88471614.5455561.2090002825.609537
관악구494225.52705149944948569913750798712.75303415.9918230.9894901422.758478
송파구285496.8275866639656583385627976910.84748414.7132760.4298421339.370363
강서구256057.6354685797685743155453925580.94054915.9646620.4415561288.360601
노원구241550.4672905149465109563990883450.77483917.1561680.4689811167.742790
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" + " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율 \\\n", + "구별 \n", + "강남구 6502 36.310273 537800 533042 4758 78226 0.884716 14.545556 \n", + "관악구 4942 25.527051 499449 485699 13750 79871 2.753034 15.991823 \n", + "송파구 2854 96.827586 663965 658338 5627 97691 0.847484 14.713276 \n", + "강서구 2560 57.635468 579768 574315 5453 92558 0.940549 15.964662 \n", + "노원구 2415 50.467290 514946 510956 3990 88345 0.774839 17.156168 \n", + "\n", + " CCTV비율 오차 \n", + "구별 \n", + "강남구 1.209000 2825.609537 \n", + "관악구 0.989490 1422.758478 \n", + "송파구 0.429842 1339.370363 \n", + "강서구 0.441556 1288.360601 \n", + "노원구 0.468981 1167.742790 " ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "plt.figure(figsize=(10,6))\n", - "\n", - "plt.subplot(411)\n", - "plt.subplot(423)\n", - "plt.subplot(424)\n", - "plt.subplot(413)\n", - "plt.subplot(414)\n", - "\n", - "plt.show()" + "fp1 = np.polyfit(data_result['인구수'], data_result['총계'], 1)\n", + "f1 = np.poly1d(fp1)\n", + "fx = np.linspace(100000, 700000, 100)\n", + "data_result['오차'] = np.abs(data_result['총계'] - f1(data_result['인구수']))\n", + "df_sort = data_result.sort_values(by='오차', ascending=False)\n", + "df_sort.head()" ] }, { "cell_type": "code", - "execution_count": 109, - "id": "6091da20", + "execution_count": 149, + "id": "b133aee7", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -6734,76 +8471,18 @@ } ], "source": [ - "t = np.arange(0,5,0.01)\n", - "\n", - "plt.figure(figsize=(10,12))\n", - "\n", - "plt.subplot(411)\n", - "plt.plot(t,np.sqrt(t))\n", - "plt.grid()\n", - "\n", - "plt.subplot(423)\n", - "plt.plot(t,t**2)\n", - "plt.grid()\n", - "\n", - "plt.subplot(424)\n", - "plt.plot(t,t**3)\n", - "plt.grid()\n", - "\n", - "plt.subplot(413)\n", - "plt.plot(t,np.sin(t))\n", - "plt.grid()\n", + "plt.figure(figsize=(14,10))\n", + "plt.scatter(data_result['인구수'], data_result['총계'], c=data_result['오차'], s=50)\n", + "plt.plot(fx, f1(fx), ls='dashed', lw=3, color='g')\n", + "for n in range(10):\n", + " plt.text(df_sort['인구수'][n]*1.02, df_sort['총계'][n]*0.98, df_sort.index[n], fontsize=15)\n", "\n", - "plt.subplot(414)\n", - "plt.plot(t,np.cos(t))\n", + "plt.xlabel('인구수')\n", + "plt.ylabel('인구당비율')\n", + "plt.colorbar()\n", "plt.grid()\n", - "\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": 110, - "id": "1ca34fd8", - "metadata": {}, - "outputs": [], - "source": [ - "import platform\n", - "\n", - "from matplotlib import font_manager, rc\n", - "plt.rcParams['axes.unicode_minus'] = False\n", - "\n", - "if platform.system() == 'Darwin':\n", - " rc('font', family='AppleGothic')\n", - "elif platform.system() == 'Windows':\n", - " path = \"c:/Windows/Fonts/malgun.ttf\"\n", - " font_name = font_manager.FontProperties(fname=path).get_name()\n", - " rc('font', family=font_name)\n", - "else:\n", - " print('Unknown system... sorry~~~~') " - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "id": "fd028ef6", - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'data_result' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Input \u001b[1;32mIn [111]\u001b[0m, in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mdata_result\u001b[49m\u001b[38;5;241m.\u001b[39mhead()\n", - "\u001b[1;31mNameError\u001b[0m: name 'data_result' is not defined" - ] - } - ], - "source": [ - "data_result.head()" - ] } ], "metadata": { @@ -6823,6 +8502,19 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.9" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false } }, "nbformat": 4, diff --git a/source_code/Untitled1.ipynb "b/source_code/02. \354\204\234\354\232\270\354\213\234 \353\262\224\354\243\204 \355\230\204\355\231\251 \353\266\204\354\204\235.ipynb" similarity index 99% rename from source_code/Untitled1.ipynb rename to "source_code/02. \354\204\234\354\232\270\354\213\234 \353\262\224\354\243\204 \355\230\204\355\231\251 \353\266\204\354\204\235.ipynb" index cfb8530..d9f585d 100644 --- a/source_code/Untitled1.ipynb +++ "b/source_code/02. \354\204\234\354\232\270\354\213\234 \353\262\224\354\243\204 \355\230\204\355\231\251 \353\266\204\354\204\235.ipynb" @@ -3579,6 +3579,19 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.9" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false } }, "nbformat": 4, From 97e39508966cd97a98d75ea2aa698b8d6a922f0c Mon Sep 17 00:00:00 2001 From: SH Date: Thu, 3 Mar 2022 00:48:55 +0900 Subject: [PATCH 5/5] =?UTF-8?q?=EC=A0=95=EB=A6=AC?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- SH | 1 - 1 file changed, 1 deletion(-) delete mode 160000 SH diff --git a/SH b/SH deleted file mode 160000 index 94ac45e..0000000 --- a/SH +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 94ac45e5a3549fcbb611fc601f7d292edd6ef79d